{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "57fc4272",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from pandas.api.types import CategoricalDtype\n",
    "from plotnine import *\n",
    "from plotnine.data import mpg\n",
    "%matplotlib inline\n",
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "916bd7ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "def write_list(a_list, file):\n",
    "    # store list in binary file so 'wb' mode\n",
    "    with open(file, 'wb') as fp:\n",
    "        pickle.dump(a_list, fp)\n",
    "        print('Done writing list into a binary file')\n",
    "\n",
    "# Read list to memory\n",
    "def read_list(file):\n",
    "    # for reading also binary mode is important\n",
    "    with open(file, 'rb') as fp:\n",
    "        n_list = pickle.load(fp)\n",
    "        return n_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "527ce5a3",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "estc_ancient_works_authors=pd.read_csv('final_to_publish_enriched.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1c0520e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "ss2=estc_ancient_works_authors.groupby(by=['publication_decade'])['estc_id'].count().reset_index()\n",
    "ss2.rename(columns={\"estc_id\": \"count\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b0d91792",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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     },
     "metadata": {
      "image/png": {
       "height": 480,
       "width": 640
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#I print the number of classics publications per year\n",
    "ggplot(ss2[ss2['publication_decade']<1800], aes(x = 'publication_decade', y = 'count')) + geom_line(stat=\"identity\") + labs(x = \"Decade\", y = \"count\", title = \"Number of 'classics' publications in (Early) Modern Britain\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f763f256",
   "metadata": {},
   "source": [
    "This part can't be replicated because the full ESTC is needed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a6ebaa9d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\u0140177\\AppData\\Local\\Temp\\ipykernel_21440\\1104679242.py:2: DtypeWarning: Columns (21,22,28,29,30,31,32,33,34,36,37,39) have mixed types. Specify dtype option on import or set low_memory=False.\n"
     ]
    }
   ],
   "source": [
    "#import/scrape estc_core\n",
    "estc_core=pd.read_csv('estc_full.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e25c63d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#from the estc catalog I retrieve the records that are included in the list of works by classical authors, build using the file linking authors ids and work ids\n",
    "estc1=estc_core[estc_core['estc_id'].isin(estc_ancient_works_authors['estc_id'])].reset_index(drop=True)\n",
    "estc1.drop(columns='Unnamed: 0', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e70340c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#i create a separate dataframe for the non classical works\n",
    "estc2=estc_core[(estc_core['estc_id'].isin(estc_ancient_works_authors['estc_id'])==False)].reset_index(drop=True)\n",
    "estc2.drop(columns='Unnamed: 0', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eb872cf6",
   "metadata": {},
   "outputs": [],
   "source": [
    "estc1['collection']='classics'\n",
    "estc2['collection']='no_classics'\n",
    "ss1=pd.concat([estc1, estc2]).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9bcfc235",
   "metadata": {},
   "outputs": [],
   "source": [
    "ss1.rename(columns={\"publication_decade\": \"decade\"}, inplace=True)\n",
    "ss1=ss1[ss1['decade']<1800]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7e1fc7df",
   "metadata": {},
   "outputs": [],
   "source": [
    "#I count the number of classics and non classics publications per decade in ESTC\n",
    "ss2=ss1.groupby(by=['collection', 'decade'])['estc_id'].count().reset_index()\n",
    "ss2.rename(columns={\"estc_id\": \"count\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "64790b15",
   "metadata": {},
   "outputs": [],
   "source": [
    "#I calculate for classics and non classics what percentage of the decade they represent (they always add up to 100%)\n",
    "ss2['total_count'] = ss2.groupby('decade')['count'].transform('sum')\n",
    "ss2['percentage']=ss2['count'] / ss2['total_count'] * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e336d9ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (136040689366)>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#I plot the percentage of classics publications per decade\n",
    "ggplot(ss2[ss2['collection']=='classics'], aes(x = 'decade', y = 'percentage', fill='collection')) + geom_line(stat=\"identity\") + labs(x = \"Decade\", y = \"Percentage\", title = \"Proportion of 'classics' on the total of (Early) Modern Great Britain publications\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee4dbbf2",
   "metadata": {},
   "source": [
    "The following can be replicated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "681b6ca5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#I split the ESTC classics into those published in the EEBo span (<1700) and those published in the ECCO span (>=1700, <1800)\n",
    "estc_classical_works_eebo_span=estc_ancient_works_authors[(estc_ancient_works_authors['publication_decade']<1700)]\n",
    "estc_classical_works_ecco_span=estc_ancient_works_authors[(estc_ancient_works_authors['publication_decade']>=1700) & (estc_ancient_works_authors['publication_decade']<1800)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c33a3d7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "258"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(estc_classical_works_eebo_span['actor_id'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ffc71daa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "197"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(estc_classical_works_ecco_span['actor_id'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "21502917",
   "metadata": {},
   "outputs": [],
   "source": [
    "#I identify the authors that are only printed in the eebo span\n",
    "only_eebo_span=[]\n",
    "for i in estc_classical_works_eebo_span['actor_id'].unique():\n",
    "    if not(i in  estc_classical_works_ecco_span['actor_id'].unique()):\n",
    "        only_eebo_span.append((i, estc_classical_works_eebo_span[estc_classical_works_eebo_span['actor_id']==i]['actor_name_primary'].unique()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0bfd13da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "113"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(only_eebo_span)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "02844381",
   "metadata": {},
   "outputs": [],
   "source": [
    "#I identify the authors that are only printed in the ecco span\n",
    "only_ecco_span=[]\n",
    "for i in estc_classical_works_ecco_span['actor_id'].unique():\n",
    "    if not(i in  estc_classical_works_eebo_span['actor_id'].unique()):\n",
    "        only_ecco_span.append((i, estc_classical_works_ecco_span[estc_classical_works_ecco_span['actor_id']==i]['actor_name_primary'].unique()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1e93665a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#I group the eebo span publications by author and count how many editions of that author were published\n",
    "grouped_eebo_span=estc_classical_works_eebo_span.groupby(by=['actor_id']).agg({'actor_name_primary':'first', 'estc_id':'count'}).sort_values(by='estc_id',ascending=False).reset_index()\n",
    "grouped_eebo_span.rename(columns={'estc_id':'count'}, inplace=True)\n",
    "grouped_eebo_span['short']=grouped_eebo_span['actor_name_primary'].str.rsplit(\",\", n=0, expand=True)[0].str.replace('.', '')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0a96441f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#I retrieved the IDs of the 10 most published authors in EEBO span\n",
    "eebo_top_10=grouped_eebo_span[0:10].actor_id.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "6bd4ce8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#I group the ecco span publications by author and count how many editions of that author were published\n",
    "grouped_ecco_span=estc_classical_works_ecco_span.groupby(by=['actor_id']).agg({'actor_name_primary':'first', 'estc_id':'count'}).sort_values(by='estc_id',ascending=False).reset_index()\n",
    "grouped_ecco_span.rename(columns={'estc_id': 'count'}, inplace=True)\n",
    "grouped_ecco_span['short']=grouped_ecco_span['actor_name_primary'].str.rsplit(\",\", n=0, expand=True)[0].str.replace('.', '')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c161f0c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#I retrieved the IDs of the 10 most published authors in ECCO span\n",
    "ecco_top_10=grouped_ecco_span[0:10].actor_id.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ea2f1bff",
   "metadata": {},
   "outputs": [],
   "source": [
    "top_10=ecco_top_10+eebo_top_10"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5af755de",
   "metadata": {},
   "source": [
    "## Here I find the top 20 of the eebo and ecco span"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "829b2898",
   "metadata": {},
   "outputs": [],
   "source": [
    "#I merge the EEBO and ECCO span separate dataframes\n",
    "grouped_eebo_ecco_span=grouped_eebo_span.merge(grouped_ecco_span[['actor_id', 'count', 'short']], how=\"outer\", on=\"actor_id\", suffixes=['_eebo','_ecco'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "17c83acf",
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped_eebo_ecco_span['short']=grouped_eebo_ecco_span['short_eebo'].fillna(grouped_eebo_ecco_span['short_ecco'])\n",
    "grouped_eebo_ecco_span.fillna({'count_eebo':0, 'count_ecco':0}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "93b06910",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for eebo and ecco spans I calculate for every author what percentage of the total of that span they represent\n",
    "grouped_eebo_ecco_span['count_eebo_rel']=grouped_eebo_ecco_span['count_eebo']/grouped_eebo_ecco_span['count_eebo'].sum()\n",
    "grouped_eebo_ecco_span['count_ecco_rel']=grouped_eebo_ecco_span['count_ecco']/grouped_eebo_ecco_span['count_ecco'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "3d2ad05d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_top_10=grouped_eebo_ecco_span[grouped_eebo_ecco_span['actor_id'].isin(top_10)]\n",
    "labels = df_top_10['short'].tolist()\n",
    "eebo_counts = round((df_top_10['count_eebo']/grouped_eebo_ecco_span['count_eebo'].sum())*100, 2).tolist()\n",
    "ecco_counts = round((df_top_10['count_ecco']/grouped_eebo_ecco_span['count_ecco'].sum())*100, 2).tolist()\n",
    "\n",
    "x = np.arange(len(labels))  # the label locations\n",
    "width = 0.35  # the width of the bars\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "rects1 = ax.bar(x - width/2, eebo_counts, width, label='EEBO_span', color='skyblue')\n",
    "rects2 = ax.bar(x + width/2, ecco_counts, width, label='ECCO_span', color='lightgreen')\n",
    "\n",
    "# Add some text for labels, title and custom x-axis tick labels, etc.\n",
    "ax.set_ylabel('% of ESTC IDs of the author')\n",
    "ax.set_title('Ancient authors')\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(labels, rotation=45)\n",
    "ax.legend()\n",
    "\n",
    "\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['left'].set_visible(False)\n",
    "ax.spines['bottom'].set_color('#DDDDDD')\n",
    "ax.tick_params(bottom=False, left=False)\n",
    "ax.set_axisbelow(True)\n",
    "ax.yaxis.grid(True, color='#EEEEEE')\n",
    "ax.xaxis.grid(False)\n",
    "\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "25280255",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>publication_decade</th>\n",
       "      <th>unique_authors</th>\n",
       "      <th>publications</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1670.0</td>\n",
       "      <td>104</td>\n",
       "      <td>276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1520.0</td>\n",
       "      <td>24</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1690.0</td>\n",
       "      <td>102</td>\n",
       "      <td>358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1630.0</td>\n",
       "      <td>71</td>\n",
       "      <td>201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1660.0</td>\n",
       "      <td>67</td>\n",
       "      <td>223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1580.0</td>\n",
       "      <td>58</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1490.0</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1530.0</td>\n",
       "      <td>24</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1480.0</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1560.0</td>\n",
       "      <td>47</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    publication_decade  unique_authors  publications\n",
       "2               1670.0             104           276\n",
       "17              1520.0              24            35\n",
       "0               1690.0             102           358\n",
       "5               1630.0              71           201\n",
       "4               1660.0              67           223\n",
       "6               1580.0              58           145\n",
       "21              1490.0               7            10\n",
       "16              1530.0              24            37\n",
       "20              1480.0               9            16\n",
       "13              1560.0              47            82"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#here the column publications does not indicate the number of single estc IDs published that year, but the total number of publications of individual authors included in publications. E.g. if one volume contains both Homer and Plato, it will be counted twice. Therefore the rate calculated below indicates the relative weight of that author of the total circulation of authors in the decade\n",
    "grouped_eebo_span_per_decade=estc_classical_works_eebo_span.groupby(by=['publication_decade']).agg({'actor_id':'nunique', 'estc_id':'count'}).sort_values(by='estc_id',ascending=False).reset_index()\n",
    "grouped_eebo_span_per_decade.rename(columns={'estc_id':'publications', 'actor_id':'unique_authors' }, inplace=True)\n",
    "grouped_eebo_span_per_decade.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb6e6107",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>publication_decade</th>\n",
       "      <th>unique_authors</th>\n",
       "      <th>publications</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1700.0</td>\n",
       "      <td>95</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1770.0</td>\n",
       "      <td>76</td>\n",
       "      <td>493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1750.0</td>\n",
       "      <td>86</td>\n",
       "      <td>459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1730.0</td>\n",
       "      <td>72</td>\n",
       "      <td>344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1740.0</td>\n",
       "      <td>94</td>\n",
       "      <td>469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1710.0</td>\n",
       "      <td>87</td>\n",
       "      <td>432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1790.0</td>\n",
       "      <td>89</td>\n",
       "      <td>526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1720.0</td>\n",
       "      <td>96</td>\n",
       "      <td>398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1760.0</td>\n",
       "      <td>75</td>\n",
       "      <td>368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1780.0</td>\n",
       "      <td>79</td>\n",
       "      <td>383</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   publication_decade  unique_authors  publications\n",
       "8              1700.0              95           364\n",
       "1              1770.0              76           493\n",
       "3              1750.0              86           459\n",
       "9              1730.0              72           344\n",
       "2              1740.0              94           469\n",
       "4              1710.0              87           432\n",
       "0              1790.0              89           526\n",
       "5              1720.0              96           398\n",
       "7              1760.0              75           368\n",
       "6              1780.0              79           383"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#here the column publications does not indicate the number of single estc IDs published that year, but the total number of publications of individual authors included in publications. E.g. if one volume contains both Homer and Plato, it will be counted twice. Therefore the rate calculated below indicates the relative weight of that author of the total circulation of authors in the decade\n",
    "grouped_ecco_span_per_decade=estc_classical_works_ecco_span.groupby(by=['publication_decade']).agg({'actor_id':'nunique', 'estc_id':'count'}).sort_values(by='estc_id',ascending=False).reset_index()\n",
    "grouped_ecco_span_per_decade.rename(columns={'estc_id':'publications', 'actor_id':'unique_authors' }, inplace=True)\n",
    "grouped_ecco_span_per_decade.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "c1569b0a",
   "metadata": {},
   "outputs": [],
   "source": [
    "total=pd.concat([grouped_eebo_span_per_decade, grouped_ecco_span_per_decade])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "3c64f6ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "total.sort_values(by='publication_decade', inplace=True, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "2013840c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(total['publication_decade'], total['unique_authors'], label='number of unique authors')\n",
    "plt.plot(total['publication_decade'],total['publications'], label='publications')\n",
    "plt.legend()\n",
    "#display plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95b62960",
   "metadata": {},
   "source": [
    "## Latin vs Greek"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "8373b623",
   "metadata": {},
   "outputs": [],
   "source": [
    "estc_ancient_works_authors.rename(columns={\"publication_decade\": \"decade\"}, inplace=True)\n",
    "estc_ancient_works_authors=estc_ancient_works_authors[estc_ancient_works_authors['decade']<1800]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "43588541",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>origin</th>\n",
       "      <th>decade</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>grc</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>lat</td>\n",
       "      <td>1640.0</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>grc</td>\n",
       "      <td>1620.0</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>grc</td>\n",
       "      <td>1760.0</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>lat</td>\n",
       "      <td>1700.0</td>\n",
       "      <td>190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>lat</td>\n",
       "      <td>1480.0</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>lat</td>\n",
       "      <td>1680.0</td>\n",
       "      <td>168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>grc</td>\n",
       "      <td>1580.0</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>lat</td>\n",
       "      <td>1490.0</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>lat</td>\n",
       "      <td>1520.0</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   origin  decade  count\n",
       "3     grc  1500.0      5\n",
       "50    lat  1640.0     59\n",
       "15    grc  1620.0     36\n",
       "29    grc  1760.0    173\n",
       "56    lat  1700.0    190\n",
       "34    lat  1480.0     13\n",
       "54    lat  1680.0    168\n",
       "11    grc  1580.0     51\n",
       "35    lat  1490.0      9\n",
       "38    lat  1520.0     21"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "estc2=estc_ancient_works_authors.groupby(by=['origin', 'decade'])['estc_id'].count().reset_index()\n",
    "estc2.rename(columns={\"estc_id\": \"count\"}, inplace=True)\n",
    "estc2.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "f7ed9190",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YQVFREQALFizgl19+4fTp0+zbt48NGzZYliFq6tWrF7Nnz+aee+6x7Ai55ZZb6Nq1K7Nnz7b5e//ggw8YMWIE48ePp1+/fpaP8ePHM3z4cD744AObruPm5sbjjz/OY489xscff0xSUhI7duyo8/Xz5s0jJyeHm266id27d5OUlMQvv/zCnXfe2ahfuN27d2fdunWkp6eTm5tb6zlRUVG8+uqrvPHGG9x+++1s2LCBM2fOsG/fPt58802AOpOCQf2FPHfuXG677Ta+++47Tp8+za5du3j++ef56aefADXPZdu2bcyfP98yo/TDDz8wf/78i643evRofv75Z/7+97/XW/yuV69erF27lm3btnH06FHuu+8+MjIyrM6ZPHkyn3zyCb///juHDh3i9ttvv+h7seU9qqmpf89LS0uZP38+Gzdu5OzZs2zdupXdu3fX+fdY2FFu9ZmY7Wqib1uTdlD97NcNPPxh8K3q13980npjaiPaU1IvSBDTpkyaNInS0lJ69uxJSEiI5fEJEyZQWFho2Ypt9sILLzBnzhxuvfVWhgwZwsmTJ/nll1/o0qWLzff08vJi9erVKIrCzJkzKS4uxmg0Mm/ePOLj45k+fTqxsbG88847dV5j2bJlDB06lFmzZjFq1CgUReHnn3+2eSdIeXk5n376KXPmzKn1+Tlz5vDxxx/bvDzx5JNP8sgjj7BkyRLi4+O54YYb6sxfCQ8PZ+vWrRiNRi677DL69+/PggUL8PPzQ9uIhMRXX32VtWvXEhkZyeDBg+s878EHH+TXX3/lwoULXHvttfTq1YvLL7+c06dPs2bNGktSb12WLVvGbbfdxiOPPEJcXBxXXXUVu3fvJioqClBzdzZt2sTx48cZN24cgwcPZsmSJZZE4JrGjh3LTz/9xBNPPFHnkuETTzzBkCFDmDZtGhMnTiQ0NJSrrrrK6pzFixczYcIEZs2axcyZM7nqqqsuyj+x9T2qqSl/z3U6HdnZ2dx2223ExsZy/fXXM2PGDP7+97/bfF/RRNWXkwpTrWdm2gpzPkyYmn/HoJtBo1WXv7LbVyFRe6vaXt32k3oBNIqtxUzakIKCAnx9fcnPz8fHx8fqubKyMk6fPk10dLTVTgwhhKiL/Nywk9JceLG7ehzSHzIOwex3YPDcVh3WRb65Gw5/A5OfhPGVO+8+vRZOroWxC2HqU607vla05IfDfLz9LPMm9WDRtN52v359v7+bQmZihBBC2Id5FsYrBHpNVY/bYl6MuUZM+KCqx4ZULint/xyMnbfic0pO+5qJkSBGCCGEfZjzYbpEQ7fKbfHJbSyIKSuo2gYeOrDq8dgZ4BEARelw8rfWGVsbIDkxQgghOifzTIx/NESOADSQcwoK0up9WYvKOKx+9ukKXkFVjzu5wIAb1eNOmuCr1ohpP4XuQIIYIYQQ9mJO4u3SHdx8IbQyUb0tzcbUTOqtzrykdHwNFDW+mGV7l1NcTqnBiEYD4X7tIzdMghghhBD2YQliotXP5iWltpQXYy5yV1sQExwPXYeBqaJTNoU0z8KEeLvh6tT2a8SABDFCCCHspfpyEkC3yuatZ7e3znhqY5mJGVT784NvUT//8UnbrHHjQCntqHu1mQQxQgghmq9CDwXn1WPzTEzUKPVz5hEoyWmdcVVXXqL2c4LaZ2IA+s0BZw/IOg7ndrfc2NqA9pbUCxLECCGEsIfcs4ACLl7gGag+5hUEgZUNS5N3tNrQLDKOgGICz2DwrqPjvJsP9LlKPd73cYsNrS1ob4XuQIKYTunpp59m0KBBLXrPlStX0rNnT3Q63UVdsx3pzJkzaDQa9u/f32L3bIyNGzei0WjIy8tr7aEI0TzVt1dXb35rWVJqA80gzfVhwgZaj7Emc4Lvke9BX+TwYbUV5pmYSH+ZiRGN8O677+Lt7U1FRVWBpaKiIpydna0aQULVL72kpPZVGvu+++7j2muvJSUlhWeffbbWc7p3715vD5+G3HHHHReVw4+MjCQtLY1+/fo1+br2MnHixBYN4IRoUZZ8mO7Wj1vqxbSBvJjaitzVJmoU+PeA8iI1kOkk2tv2apAgpk2YNGkSRUVF7Nmzx/LY77//TmhoKDt37qSsrMzy+IYNG4iKirqoL40tFEWxCpRaSlFREZmZmUybNo3w8HC8vb1b7N46nY7Q0FCcnJxa7J5tga19poSwm5o7k8zMeTGp+1t/VqO+7dXVaTTVEnw/deyY2gi1Rowk9oomMDd23Lhxo+WxjRs3Mnv2bKKjo9mxY4fV4+ZO1nq9noceeojg4GDc3NwYO3Ysu3fvtjpXo9GwevVqhg4diqurK1u2bLno/klJScTExDB//nwUReHs2bNcccUVdOnSBU9PT/r27cvPP/9c5/hzc3O57bbb6NKlCx4eHsyYMYMTJ05YxmAOWiZPnoxGo7H6Pm1lNBq5++67iY6Oxt3dnbi4ON544w3L808//TQfffQRP/zwAxqNxnKfmstJ5vdk3bp1DBs2DA8PD0aPHk1iYmK993/88ceJjY3Fw8ODmJgYnnzySatAobZZoAULFlhm0u644w42bdrEG2+8YRnfmTNnLOfu3bu33vEsXbqUHj164OLiQlxcHJ98Yl2MS6PRsHTpUq688ko8PT157rnnyM3NZe7cuQQFBeHu7k6vXr1YtmyZje+4EI1kWU7qbv24XyT4RoFihHO7WnxYFhV6yDyqHjcUxEBlU0gdpOyAC8cdO7Y2IKuonDKDCY0GwnwliGlbFAXKi1v+oxHb8yZNmsSGDRssX2/YsIGJEycyYcIEy+OlpaXs3LnTEsQ89thjfPvtt3z00Ufs27ePnj17Mm3aNHJyrHcB/PWvf+WFF17g6NGjDBgwwOq5gwcPMnbsWG6++WbeeustNBoN8+bNQ6/Xs3nzZg4dOsSLL76Il5dXnWO/44472LNnDz/++CPbt29HURQuv/xyDAaD1S/kb7/9lrS0NEaPHm3z+2JmMpmIiIjg66+/JiEhgSVLlvB///d/fPXVVwA8+uijXH/99UyfPp20tLQG7/O3v/2NV199lT179uDk5MRdd91V7/29vb1Zvnw5CQkJvPHGG7z//vu89tprNo//jTfeYNSoUdxzzz2W8UVGRto0nu+//56//OUvPPLIIxw+fJj77ruPO++80+rvC6iB3NVXX82hQ4e46667ePLJJ0lISGD16tUcPXqUpUuXEhgYaPOYhWiUmturq7PkxbRivZjMBLX+i3sX8I1s+HzvUOh1mXrcCSr4mmdhQn3ccHFqP6FB55hjN5TAP8Nb/r7/lwounjadOmnSJBYsWEBFRQWlpaX88ccfTJgwAYPBwLvvvgvA9u3b0ev1TJo0ieLiYpYuXcry5cuZMWMGAO+//z5r167lgw8+YNGiRZZrP/PMM1x66aUX3XPbtm3MmjWLv/3tbzzyyCOWx5OTk5kzZw79+6vVNmNiYuoc94kTJ/jxxx/ZunWrJWj47LPPiIyMZOXKlVx33XUEBwcD4O/vT2hoHTsCGuDs7Mzf//53y9fR0dFs376dr776iuuvvx4vLy/c3d3R6/U23eO5555jwoQJgBrkzZw5k7Kysjo7GD/xxBOW4+7du/Poo4+yYsUKHnvsMZvG7+vri4uLCx4eHrWOr77xvPLKK9xxxx38+c9/BmDhwoXs2LGDV155xRLQAtx8883ceeedlq+Tk5MZPHgww4YNs4xbCIcwmepeTgLoNgoOrmjdejGWIneD6k/qrW7wLXB8NRz4AqYsAZ2zo0bX6ixJve0oHwY6y0xMOzBx4kSKi4vZvXs3v//+O7GxsQQFBTFhwgRLXszGjRuJiYkhKiqKpKQkDAYDY8aMsVzD2dmZESNGcPToUatrm3+JVZecnMyll17KkiVLrAIYgIceeoh//OMfjBkzhqeeeoqDBw/WOe6jR4/i5OTEyJEjLY8FBAQQFxd30Tia6+2332bo0KEEBQXh5eXFe++9R3JycpOuVX1GKiwsDIDMzLrLjH/55ZeMGTOG0NBQvLy8eOKJJ5p878aO5+jRo1Z/zgBjxoxp8M/5gQceYMWKFQwaNIjHHnuMbdvaUNVU0bEUpoFRD1qn2mc5zMm953aryzqtwdZ8mOpip6nbsYsvwIlfHTOuNqI91oiBzjIT4+yhzoq0xn1t1LNnTyIiItiwYQO5ubmW/5WHh4cTGRnJtm3b2LBhA5MnT270MDw9L54NCgoKIjw8nC+++IK77roLHx8fy3N/+tOfmDZtGj/99BO//vorzz//PK+++ioPPvhgo+9tLytWrODRRx/l1VdfZdSoUXh7e/Pyyy+zc+fOJl3P2bnqf1Sayv+VmUymWs/dvn07c+fO5e9//zvTpk3D19eXFStW8Oqrr1rO0Wq1KDWWDxuTXNuY8dSl5p/zjBkzOHv2LD///DNr165lypQpzJs3j1deeaVR1xWiQeZ8GN9I0NXyayWgJ3gGqcHA+X3qzExLa0oQo3OGgTfCtjdh3yfQe6ZjxtYGtMdqvdBZZmI0GnVZp6U/bJ2yrDRp0iQ2btzIxo0brbZWjx8/ntWrV7Nr1y7L8oE5yXPr1qraCwaDgd27d9OnT58G7+Xu7s6qVatwc3Nj2rRpFBYWWj0fGRnJ/fffz3fffccjjzzC+++/X+t14uPjqaiosAomsrOzSUxMtGkctjIvV/35z39m8ODB9OzZ86Jt5i4uLhiNRrvd02zbtm1069aNv/3tbwwbNoxevXpx9uxZq3OCgoJIS7Pu1FuzNk1TxxcfH2/15wzq+2HL+xsUFMTtt9/Op59+yuuvv857773X6PsL0aD68mFA/VnYmvVijAa10B00LogBGFxZM+bEr1CYbt9xtSHtcXs1dJYgpp2YNGkSW7ZsYf/+/ZaZGIAJEybwn//8h/LycksQ4+npyQMPPMCiRYtYs2YNCQkJ3HPPPZSUlHD33XfbdD9PT09++uknnJycmDFjBkVF6vbHBQsW8Msvv3D69Gn27dvHhg0biI+Pr/UavXr1Yvbs2dxzzz1s2bKFAwcOcMstt9C1a1dmz57d6Pfg/Pnz7N+/3+ojNzeXXr16sWfPHn755ReOHz/Ok08+abUTC9Scj4MHD5KYmEhWVpbdthn36tWL5ORkVqxYQVJSEm+++Sbff29dO2Ly5Mns2bOHjz/+mBMnTvDUU09x+PDhi8a3c+dOzpw5Q1ZWls0zLYsWLWL58uUsXbqUEydO8K9//YvvvvuORx99tN7XLVmyhB9++IGTJ09y5MgRVq1aVeefoxDNUl8+jFlUZRDTGvViLhxTl7tcfeofY22CYiHyEnV31f7PHTO+NqA9bq8GCWLalEmTJlFaWkrPnj0JCQmxPD5hwgQKCwstW7HNXnjhBebMmcOtt97KkCFDOHnyJL/88gtdunSx+Z5eXl6sXr0aRVGYOXMmxcXFGI1G5s2bR3x8PNOnTyc2NpZ33nmnzmssW7aMoUOHMmvWLEaNGoWiKPz8889WSyS2euWVVxg8eLDVx08//cR9993HNddcww033MDIkSPJzs62JLqa3XPPPcTFxTFs2DCCgoIumr1oqiuvvJKHH36Y+fPnM2jQILZt28aTTz5pdc60adN48skneeyxxxg+fDiFhYXcdtttVuc8+uij6HQ6+vTpQ1BQkM05NVdddRVvvPEGr7zyCn379uU///kPy5Ytu6gQYk0uLi4sXryYAQMGMH78eHQ6HStWdL7OvKIF1LW9ujrzTEzyTjC2cL2q6ktJ2ib82qteM6YDNoVUFIXzlmq97WsmRqPUXMhvBwoKCvD19SU/P98qlwOgrKyM06dPEx0dXedOEyGEqE5+bjTTe5MgdR/c8CnEX1H7OSYjvBgN+ny4dyOED2658f28CHa9B6Pmw7TnGv96fRG8GqdW8L1zdVVA1kFkFpYx4rl1aDWQ+I8ZOOscN79R3+/vpmjUSJ9//nmGDx+Ot7c3wcHBXHXVVRcV5Zo4caKlmJf54/7777c6Jzk5mZkzZ+Lh4UFwcDCLFi1qlUqyQggh7KB636S6aHUQdYl63NL1YpqS1Fudqxf0vVo93tfxasak5KizMGG+7g4NYByhUaPdtGkT8+bNY8eOHaxduxaDwcBll11GcXGx1XnVC3qlpaXx0ksvWZ4zGo3MnDmT8vJytm3bxkcffcTy5ctZsmSJfb4jIYQQLac0D0pz1eP6lpOgaldSSwYxJiOkH1KPmxrEAAypXB5OWAllBc0eVltizofp2s7yYaCRW6zXrFlj9fXy5csJDg5m7969jB8/3vJ4XQW9AH799VcSEhL47bffCAkJYdCgQTz77LM8/vjjPP3007i4uDTh2xBCCNEqzLMwnsHqjEV9zPVizm5Tc0sauYOzSbJOqAVPnT3Vrd5NFTEcAmMh6zgc/haG3dnwa9qJ9lojBpqZ2Jufnw+olVir++yzzwgMDKRfv34sXryYkpISy3Pbt2+nf//+Vomr06ZNo6CggCNHjtR6H71eT0FBgdWHEEKINqCh7dXVhQ0CJ3cozYEL9fcrsxvzUlJof3VJq6k0mqrt1h2sKWR7rdYLzQhiTCYTCxYsYMyYMfTr18/y+M0338ynn37Khg0bWLx4MZ988gm33HKL5fn09HSrAAawfJ2eXvse/Oeffx5fX1/LR/WeM3Vph/nKQohWIj8vmsGW7dVmTi4QOVw9bql6Mc3Nh6lu4E1qVeLze6qaSXYA7XV7NTQjiJk3bx6HDx++aMvmvffey7Rp0+jfvz9z587l448/5vvvv7+oMFljLF68mPz8fMtHSkpKneeat/VWn/0RQoj6lJeXA6DTNeN/6p2VLdurq2vpejH2DGK8giB2unrcggm+GxMzufWDnZzPK3XI9dtroTtoYtuB+fPns2rVKjZv3kxERES955p76pw8eZIePXoQGhrKrl3W7dgzMjIA6syjcXV1xdXV1aax6XQ6/Pz8LH1nPDw8LGXchRCiJpPJxIULF/Dw8MDJqXN0YrGrxiwnQdX25DNbHZ8XYzJVBTHhg+xzzcG3wrFVakPLqU+rs0sO9sGW0/x+Iovv951j/uRedr22yVRVI6Y9zsQ06l+soig8+OCDfP/992zcuJHo6Ib/0ppLr5uLtI0aNYrnnnuOzMxMS3fjtWvX4uPjY7cy9eZgqL6GfkIIYabVaomKipL/8DRFY5aTQE2Q1TpBYSrknbV9Bqcpck9DeSE4uUFgnH2u2XMqeIVAUYa6JNZjUsOvaaakTLWa+tG0wgbObLwLRXrKjSZ0Wg1hvu2vRlKjgph58+bx+eef88MPP+Dt7W3JYfH19cXd3Z2kpCQ+//xzLr/8cgICAjh48CAPP/ww48ePt3Tpveyyy+jTpw+33norL730Eunp6TzxxBPMmzfP5tmWhmg0GsLCwggODrZb6XkhRMfl4uKCtimVXDu7Cj3kn1OPbZ2JcfFQC92d263uUnJkEJO2X/0c0rf2xpRNoXOC7mPVHUrn9zg8iCkpryA1vwyAo2n239RizocJ83XDqZ3ViIFGBjFLly4FuKjc+bJly7jjjjtwcXHht99+4/XXX6e4uJjIyEjmzJnDE088YTlXp9OxatUqHnjgAUaNGoWnpye33347zzzzTPO/mxp0Op2scQshhKPkJQOKun3ZM8j213UbXRXEDLrZYcOzaz5MdV2HqUHMub32vW4tTl2oqsN2OruYkvIKPFzst+zZnrdXQxOWk+oTGRnJpk2bGrxOt27d+PnnnxtzayGEEG1N9XyYxizFdRsDW99wfNE7hwUxQ9XP5/c4PK8n6UKR5VhRIDG9kMFRtvfHa0hKjnlnUvtL6gVpACmEEKKpLPkw3Rv3usiRgAZykqCw9tIazaYokLpfPQ4bZN9rhw1Q83qKL0B+3btl7eHUhWIGak7yvNP7+FBk97yY9j4TI0GMEEKIpmns9mozdz8Iqawv5qjZmLxkKMsDrTMEx9v32s7uVeM/t8e+164h6UIRjzut4CanDdyq+83ueTHteXs1SBAjhBCiqRq7vbq6bg6uF2NeSgqOByf7bBqxEjFM/XzesXkxZzPzGaw9CcAI7TEHBDHqclKkzMQIIYToVGzpXl0XcxDjqJkYR+XDmHWtDGIcOBNjMim4Zh/BXaMWYxyiPcHx9HxMJvtUmDaaFEsBvQh/mYkRQgjRWZhMVTkxzZmJyTgCJTl2G5aFeXu1vYrc1WSeiUnbD0bHlPJIKyhjoKmqvYG3ppTI8lOWJaDmyiwsw2BUcNJqCPF2wGxVC5AgRgghROMVpUNFGWh04NtwP7uLeAVXdpVWIGWnfcfmyKReM/8e4OarvgcZtTcvbq6kzCKGao9bPTZMm0iCnZaUzMFQmF/7rBEDEsQIIYRoCnM+jF8k6Jybdg1HLSkVpkFJlhpghfS177XNtFrrrdYOcCqzkGHmIKbnVACG2zEvxtL40a99LiWBBDFCCCGaorHtBmrTbYz62d5BjDkfJihO3UnkKJYgZp9DLp9z/jjBmjwqNM5wyZ8BGK5N5Ghqvl2ufy5HnYmJ9K/xHqUfhs0vV72PbZgEMUIIIRqvqdurqzPPxKTth/Liek9tFEtS7yD7XbM2Dk7udU/fDUCeXx/oNhqT1pkQTR75accbeKVtUnLrKHR39H+w/h+w5TW73MeRJIgRQgjReM3ZXm3mFwU+EWCqUNsQ2IslH8ZBO5PMzMm9WcehzD6zI9WF5qvBWEXXkeDsjqkyKIsoOEhhWfOTiessdHdqg/o5ZmKz7+FoEsQIIYRovOZsr67OEXkxjt5ebeYZCH7dAMXuS0pF+gr6VKg7k7x6jQXAqbv6Xg3XHuNYevMr99Za6K4sv2pmKcbxHbqbS4IYIYQQjWePmRiwfxBTlAmFqYAGQvvZ55r1sRS9s++SUnLKeeK0aodwr56VuUNR5iAmsdnJvUaTQmpeLTMxZ7aAYgT/GOjSrVn3aAkSxAghhGicsnworazt0pycGKgKYs7thgp9864FkHZQ/RzQE1y9m3+9hljyYuxbubfg5FYAUnVd1RkfgMgRAPTQppGccrZZ188oKKPCpOCs0xDi41b1xKmN6ud2MAsDEsQIIYRoLPMsjGdQ8wOFwFjwCFDrrZhzWZoj7Q/1s6OK3NVUfSZGsU8lXQBNZe2cVJ9qS2Ie/hT49AJAd25Xs65v7l4d7ueOTlutC3dSZT5MDwlihBBCdET22F5tptFUW1La2vzrtVQ+jFlo/6qO1nnJdrusf46aY1McMtz6ichLAAjL24exGe0Hak3qzT8H2SdAo4Xu45p87ZYkQYwQQojGscf26ursWS+mpYOY6h2t7dUMsqKcqNJjALhEj7J6yit2PACDOMaZ7KZvS7cEMdUL3ZlnYboOVTuNtwMSxAghhGgceyX1mkVV/qJO2QkmY9OvU5JTNRsSOqD547KVnTtam1L340o52Yo3YTH9rZ7TdlPfq36aMxxPSWvyPSzVeqvPxFi2VrePpSSQIEYIIURj2Wt7tVlof3DxBn0BZBxu+nXSD1aNqyVnEuxc9K7g+BYA/lBiL+4u7RdJnnMwThoT+Sd2NPke5pmYSPP1TaaqpN52kg8DEsQIIYRorJwz6md7zcRodRCl5no0a0mppYrc1WTnjtaGM+p7cMq9f62NGXMD1fu5pTa9cWZKzZmYjENQkg0uXhAxvJ5Xti0SxAghhLBdRTkUqPVL7DYTA/ZJ7m3pfBgze3a0VhS8MtQZndzAIbWeYl5S6lrQtN5GFUYTafllQLVCd+Z8mO5jm97QsxVIECOEEMJ2ecmgmMDZE7yC7XddcxBzch0c+7lp12itIMaeHa1zTuFuyEWvOOPUdXCtpwT1U5d7+poSyS1ofHJvekEZxsoaMcHeruqD7TAfBiSIEUII0RiW7dXd1e3R9hIxHKLHg6EEVtwEv/29cUm+ZQWQk6QeO7rxY23sVfQuWc1zOahE0y3Ev9ZTPML7UoAXHho9KQmNX1Iy58N09XNHq9WAoRTOblefbAf9kqqTIEYIIYTt7L292kyrg7nfwsj71a+3/As+uRqKs2x7vTmp1zcSPAPsOzZbWGZimhvEqMHEHlMcPYI8az9Hq+WMh7qtuyTp90bf4qKk3uTtYNSDdxgExTV+zK1IghghhBC2s/f26uqcXGDGizDnA3D2gNOb4D/jbdv101pLSWZ26mhtrJyJ2WOKJSbIq87zCoLV+3mkN777t7laryWpt3qrAXvOrrUACWKEEELYzlEzMdX1vxbuWa/2Pyo4Dx9Oh93/rb+sf2sHMfboaF2Sgy77BABn3Pvj6153gq1ztFogMKroYKPbHVzUvbqdtRqoToIYIYQQtnPkTEx1wfFwzwaIvwJMBvjpEfj+figvqf381g5ioPkdrSv7JZ00hRMQHFrvqeHxo9Arzvgp+RgyjzfqNlaF7oqzqpbi2lk+DEgQI4QQwlaKYt++SQ1x84HrP4FLnwWNDg6ugA8uhewk6/PKi9VlHGidpF6z5ib3VubD7DbF0aOepSSAiCA/DtETgKyETY26jdVMjHkpKaSffXebtRAJYoQQQtimMB0qStWAwi+qZe6p0cCYh+D2H9Wu2RmH4b1J1tuw0w+r2769QsE7pGXGVZvmdrROVmdi9iqxdSf1VtJoNCR7qa0Vyk9tsfkWFUYT6QVqjZjILu7VtlZPbPx42wAJYoQQQtjGPAvjG9HyBdG6j4X7fofIkaDPt96G3RaWkkDt16R1blpH6wo9pP4BqEm9Dc3EABSFjgDAO9P2mZ+0fLVGjIuTlkBPF0jaqD7RDvNhQIIYIYQQtmqJpN76+ITB7asu3oZtnk1o7SDG2Q1Cm9jROnU/GPVkKz6cUUJtCmI8YkZhUjT468+ps2Q2sLQb8HNHm5ukVl/WuUDU6MaNt42QIEYIIYRtWiqptz5W27A91W3YiZVLS+GDWm9cZk2tF1MtH8bFSUfX6t2l69AzqitHlSir1zfEUuiui3vVrqSoS8DFo55XtV0SxAghhLCNvbtXN0f/a+GedRDQq+qx0AGtNx6zpna0rtyZtMcUS3SAJzptw/Va4kK82aOoxelKTtpW9M6q0F07bTVQnVNrD0AIIUQ70RZmYqoLjlfryfz2tDqT4BfZ2iO6uKO1LblDimJpN7DXFEtMA0m9Zu4uOs56DoCyXzGesXUmRl1OivJ1gqOVgU87zYcBCWKEEELYqi3NxJi5+cCsf7X2KKqYO1qX5asdrW1Z4so6AaU5GDQuHFaiGWNDPoxZWdgIOA2eucfU/lFuPvWefy5HnYnpyykoLwT3Lm1jBquJZDlJCCFEw8oKoCRbPW4rMzFtUVM6WqeoszAnnOMw4GTzTAxA16geJJuC0GKCc7saPN88E9OjsPLc6Alq36p2SoIYIYQQDTNvr/YIBFfvVh1Km9fYoneV9WF2Vqj5PbbsTDKLD/Nmt9Jb/eJs/UtK5RVVNWICM7apD7bjpSSQIEYIIYQtcttYPkxb1tj2A5UzMZvLegA0aiYmPsyH3SY1udfUQBCTnl+GSQF/pzKc0yoDrHac1AsSxAghhLBFTivXiGlPzMtJtnS0LroA2ScB2GvqRbC3K95uthcSDPVx45iLuTbNHrVoXh3MS0mXe59EoxjBPwa6dLP5Xm2RBDFCCCEa1haTelvJ/31/iEv/tYmc4vLaT7B0tKbhjtaVW6vzvXtSgFejZmFAbT/gHtqbbMUbrVFfVb24tltVBjETdEfUB9r5LAxIECOEEMIWbW17dSvZmJjJ5zuTOZFZxM+H0uo+0dYlpcqlpDPu6mxKY/JhzOLDfdlTuaTE2W11nmeuETPIoLY3aO/5MCBBjBBCCFvITAwGo4lnVyVYvl5/LLPuk21N7q1M6t2Hmpwb05QgJszbkhdjrjdTm3O5pYSRTZA+GTRa6D6u0fdqaySIEUIIUb+Kcsg/px534pmYT7afJelCMR4u6pbkrSezKC031n6yLR2tDaWWpo8bSmMAGuxeXZvqyb1K8nYwmWo971xuCWN1h9Qvug4Fd79G36utkSBGCCFE/fJTQDGBswd4hbT2aFpFdpGe1347DsATM/vQ1c8dfYWJbUlZtb/Alo7WqX+AyYDiFcKOHHXbelOWk3qFeJGoiaZEcUVTlgdZibWedy63lHHayiCmA+TDgAQxQgghGlK9e7Wm4Z4+HdGra49TWFZBnzAfbhgeyZT4YADW1bWkZNXRuo68mMqln5KQYZQbFVydtIT7Ndz4sSZXJx3dgvz4w9RTfaCWvBh9hZGMghJGayuTejtAPgxIECOEEKIhnXx79ZHUfL7Ypc6mPHVFH3RaDZN7q0HM+qOZKHUtF5nzYuraoVQZxKT6qGX/owNta/xYm/iwqmaQteXFpOWV0ZtkAjUFKC5eEDG8SfdpaySIEUIIUT9ztd5OmNSrKArP/C8BRYGZA8IYGRMAwCUxAbg760gvKCMhraD2F0fU09HaZLJsrz7i1Bdo2lKSWZ9wH3bVk9x7LreUsZVLSZpuY2xrTNkOSBAjhBCifp14e/Xqw+nsPJ2Dq5OWxTN6Wx53c9YxtlcgoM7G1Mpc9M7c0bq6rONQlgfOHuwu6wo0rlJvTfFhPuw39cSIFvKTqxKxK53LLWGs9rD6RQdZSgIJYoQQQjSkk26vLjMYee6nowDcP6EHEV08rJ6f0ruBvBhzR+uKMrWjdXWV9WHoOpQTWWqV3ebMxMSH+VCMO0dMlUX2aszGpGbnMkJ7TP2igyT1ggQxQggh6qMoVctJnWwm5v3NpzifV0qYrxv3T+hx0fOTKoOYA+fyuFBYS7n/+jpam4OMyJGculAENG8mJtDLlSBvV3abzM0grZN7XVN34aYxUOwSBEFxTb5PWyNBjBBCiLoVZYKhRC2O5hvZ2qNpMWn5pbyzMQmAxZfH415ZG6a6EB83+nf1RVHUSr61qqvoXWUQUxwynKwitX1BUwrdVVe9XkzNmZjwbPXrnNAxHWqHWaOCmOeff57hw4fj7e1NcHAwV111FYmJ1vvRy8rKmDdvHgEBAXh5eTFnzhwyMjKszklOTmbmzJl4eHgQHBzMokWLqKioaP53I4QQwr7MS0m+EeDk0rpjaUEvrD5GqcHIsG5duGJAWJ3nmWdj6qzeW1v7gaLMyvdVwwm3eABCfFzxcnVq1pjjw7yr2g9kJkBpbtVzpWoQZYqe2Kx7tDWNCmI2bdrEvHnz2LFjB2vXrsVgMHDZZZdRXFxsOefhhx/mf//7H19//TWbNm0iNTWVa665xvK80Whk5syZlJeXs23bNj766COWL1/OkiVL7PddCSGEsI9OuL16z5kcftifikYDT1/ZF009MxfmvJjNxy9QXlFLpdzqHa1L89Rj8yxJcB9O5qszPM3JhzHrE+ZDFr6k6roCCqTsAkCfn0FvRf1z9Ol7abPv05Y0KohZs2YNd9xxB3379mXgwIEsX76c5ORk9u5VI7z8/Hw++OAD/vWvfzF58mSGDh3KsmXL2LZtGzt2qH9ov/76KwkJCXz66acMGjSIGTNm8Oyzz/L2229TXl5HR1AhhBCto5Ml9ZpMCn//n9of6YZhkfTr6lvv+f27+hLo5UpxuZFdp3MuPsEzsCoArGwxYAliokaSZId8GLP4MB8AtlfEqg9U5sXkHfkNgGNKFH5BXZt9n7akWTkx+fn5APj7+wOwd+9eDAYDU6dOtZzTu3dvoqKi2L59OwDbt2+nf//+hIRUla6eNm0aBQUFHDlSI3u7kl6vp6CgwOpDCCFEC+hk26u/2XeOQ+fz8XZ14pHLGk6A1Wo1TO4dBMC6Yxm1n9S1xpKSeWdS1ChLUq89ZmJiAj1xcdKyo6KX+kBlsGRK2gDAIdch9c4qtUdNDmJMJhMLFixgzJgx9OunllZOT0/HxcUFPz8/q3NDQkJIT0+3nFM9gDE/b36uNs8//zy+vr6Wj8jIzpNcJoQQraoTzcQUlhl4aY2a5/nQlF4Eebva9LrJvdXfYeuP1VG917ykdG4vlJdA2gH168iRJF1Q0zGam9QL4KTTEhvixS7zDqXUfWAoxef8FgCSu4xs9j3amiYHMfPmzePw4cOsWLHCnuOp1eLFi8nPz7d8pKSkOPyeQggh6FQzMW9tOElWkZ7oQE9uH93d5teN7RWIi07L2ewSTmUVX3xC9eTe83vBVAHeYVR4R3A2Wz2/Kd2raxMf6sNZJYRiZ38wlsOhr/EsS0OvOFESOsIu92hLmhTEzJ8/n1WrVrFhwwYiIiIsj4eGhlJeXk5eXp7V+RkZGYSGhlrOqblbyfy1+ZyaXF1d8fHxsfoQQgjhYPpCKKns0tzBZ2JOZxXz4RY1YHtyVjwuTrb/evRydWJkjJpWUWv13uodrQ99rT4WOZKUvDIMRgU3Zy3hvo1v/FgbNS9Gw1GXyuaTm18GYI8pjtAAf7vcoy1pVBCjKArz58/n+++/Z/369URHW/+lHjp0KM7Ozqxbt87yWGJiIsnJyYwaNQqAUaNGcejQITIzq/6g165di4+PD3369GnO9yKEEMKezEXuPALArWP/5/G5nxIwGBUmxgVZlocao6p6by15MdU7Wh+oXL2olg8THeiFtomNH2syJ/duLa/saJ2nNq7caupHRBf7BEptSaOCmHnz5vHpp5/y+eef4+3tTXp6Ounp6ZSWlgLg6+vL3XffzcKFC9mwYQN79+7lzjvvZNSoUVxyySUAXHbZZfTp04dbb72VAwcO8Msvv/DEE08wb948XF1tW38UQgjRAjrJ9upNxy/w29FMnLQanpjZtP9MmwOf3WdyyS81XHyCObnXWFnZ1847k8z6VAYxvxZZVxj+3dT/orYJHUGjgpilS5eSn5/PxIkTCQsLs3x8+eWXlnNee+01Zs2axZw5cxg/fjyhoaF89913lud1Oh2rVq1Cp9MxatQobrnlFm677TaeeeYZ+31XQgghmq8TJPUajCaeXaVuqb59dHd6BjctwTYqwINewV4YTQqbj1+4+ARzXgyAsyeE9OfUBXM+TPOTes18PZwJ93XjmBKF0UkNjnIVL44o3TvkTEyjygPWmnVdg5ubG2+//TZvv/12ned069aNn3/+uTG3FkII0dI6QVLvpzvOcjKzCH9PFx6a0qtZ15ocH8yJzCLWH8vkioHh1k92rRbERAwFnZNlJsZeSb1m8WE+pOaXke47gK7Z29lq6ou7izN+Hs52vU9bIL2ThBBC1K6Dz8TkFJfz2trjADx6WRy+7s37JT+lcklpQ2ImRlON//QHVHa0BohSc0QdMRMDVXkx6z1noXcL4pOKy4j09+hwNWJAghghhBB16eAzMf9am0hBWQV9wny4YXjz648NifLD192ZvBIDfyTnWj+p0UDvWaDRQdzl5JWUk12sVqmPDrT/TAzANyWD+HriOnYq8R1yKQkkiBFCCFEbowHyz6nHHXAmpsJo4us96vf3xKx4dHbYHeSk0zIxzly9t5at1rNeg4UJED7IUuQuzNcNz2Y2fqwpPswbgMSMQpJzSgA6ZFIvSBAjhBCiNvkpoBjByQ28a6/h1Z6dyS5BX2HCw0XHJdEBdrvuZHNX69rqxTi5Wt5LR+xMMusW4Im7s44yg4nfT6h1fjrqTIx9wz8hhBDtk6JAzik4vQlObYIzv6uPd+muLoV0MInphQD0CvG2W40WgAmxQei0GhIzCknJKSHSv/YZEEflwwDotBriQr3Zn5LH0TS116AEMUIIITqW/PNwenPVR8E56+edPWH4n1pnbA6WmK7+cu8d4m3X6/p5uDC0Wxd2nc5hQ2Imt43qXut5lpkYO+fDmMWH+bA/Jc/ydUddTpIgRgghOovibDhTLWjJPmn9vM4FIkZAzASIHq82LtR1vG25AMcqZ2LiQu0bxIBavXfX6RzWHa07iLF0r25iXZqG9Amz/r4iJYgRQgjR7pSXwO+vwvFfIOOQ9XMaLYQPVgOW6AkQORJcOuYvu5oSM9Qgprcjgpj4YJ5ffYztSdkU6ysuStw1GE2czVYTbu3Rvbo25h1KAN6uTvi4d8xf9x3zuxJCCKH69QnY80HV18F9K4OW8dB9TFXtkk6kpLzCsmvHETMxPYK8iPL3IDmnhK0ns7isr3VidEpOCRUmBXdnHWE+bna/P0DvakFM1y7uHbJGDEgQI4QQHdf5vbDnQ/V45qsQfyV4BbfumNqA4xlFKAoEerkS4GX/nn0ajYbJvYNZvu0M649lXhTEmLdXxwR52jWpuDovVydLINVR82FAtlgLIUTHZDLCqoWAAgNuUBN0JYABqpJ640Ids5QD6pISwPpjmZhqVO89Zdle7bj7Q1W9mEj/jrkzCSSIEUKIjmnPh5C2H1x94dJnW3s0bYolqTfEp4Ezm25EtD+eLjoyC/UcSS2wes5RPZNqunZoJBFd3Jnet+PV+TGTIEYIITqaokxYVxm4THkSvENadzxtjLlGjCOSes1cnXSM62Wu3pth9dwpy3KSY2diLu0TwpbHJzMyxn7F/NoaCWKEEKKj+fVJ0OdD2EAYdldrj6bNOZ7huO3V1U2utqRUXUvNxHQGEsQIIURHcmYLHFwBaGDma6DVtfaI2pSsIj1ZReVoNBBr50J3NU2KU4OYg+fyySwoA9TO2bklBsD+jR87IwlihBCio6goh58eUY+H3QkRQ1t3PG2QeSmpm78H7i6ODfCCvF0ZGOkHwIZEdTbGnNTb1c8dDxfZINxcEsQIIURHseMduHAMPAJhypLWHk2b5MhKvbWZUtkQct1RcxBTtb1aNJ8EMUII0RHkpcCmF9Xjy54F9y6tO542qmp7teN2JlVn7mq95WQWZQZjtXwYxyb1dhYSxAghREew5q9gKIGo0TDwptYeTZvVEjuTqusb7kOIjysl5UZ2ns6xKnQnmk+CGCGEaO+O/wrHVoFGp1bm7aAl5pvLZFI4nqHOhDg6qddMrd6rbnFffzSjqvGjzMTYhQQxQgjRnhlKYfUi9XjUnyGkT+uOpw1Lzimh1GDExUlL94CWK8VvzotZm5Bh6dkkMzH2IanRQgjRnm15DXLPgHc4TPhra4+mTTMn9fYK9sJJ13L/hx/TMxBXJy2p+eo2aw8XHaEOavzY2chMjBBCtFfZSWoQAzDjBXCVJYr6JLbwziQzdxcdo3tUVc2NCfLssF2lW5oEMUII0R4pCvz8KBjLoedUtUO1HZhMCkdS8/nv76eY9/k+Vh9Ks8t12wJzpd6WSuqtbnJ8VesHyYexH1lOEkKI9ihhJSStB50rzHipycm8iqJwOquYrUnZbE/KYntStqWiLMBvCRn0CvGmZ3D7/8V7rIW3V1c3uXcwT1YexwS2//eyrZAgRggh2ht9IaxZrB6PWwgBPRr18tS8UrYlZbPtZBbbkrJJryyJb+bpomNEtD85xeUcOJfPI18f4Nv7R7VoHom9lRmMnMlWk2pbYyamq587fcJ8SEgroHdYy9+/o5IgRggh2puNL0BhGnSJhjELGjw9p7icbUlZlsDF/MvczMVJy9CoLozuEcDonoEMiPDFWaclPb+My17bxIGUPN7dlMT8yb0c9A053snMIowmBT8PZ4K9XVtlDK/fOIitJ7O4NF66ituLBDFCCNGepB+GHUvV48tfAef6d7nsPJXNHct2U2owWh7TaTUMiPBVg5YegQzt1gU354v7CIX6uvH32X15+MsDvLHuBJN6B9M33Neu305LsST1hni3WlJtbIh3i9Wn6SwkiBFCiPbCZIKfFoJiVBN5e02t93RFUXhhzTFKDUaiAz2ZFBfMmJ4BDI/2x8fN2aZbXjWoK78czmDNkXQe+eoAP8wfg6uT/RsnFpQZWPT1AboHerJ4Rrzdr5/Yikm9wnEkiBFCiPbiwOeQshOcPWH68w2evj0pmz+S83Bx0vLlfZcQ7N342iQajYZ/XN2P3WdyOJZeyBu/neCx6b2bMvo66SuM3PfxXrafygbg3nExBHjZd8nHXCMmVoKYDqX9ZmkJIURnUpIDv1bub5n4V/CNaPAl/15/EoCbhkc2KYAxC/Ry5bmr+wPw7qYk9iXnNvlaNZlMCou+PmgJYACrY3sxN36UmZiORYIYIYRoD35/FUpzICgeLnmgwdP3ns1h+6lsnLQa7p3QuN1LtZneL5RrBnfFpMCjXx2gtNzY8Its8MKaY/x4IBUnrYbh3dXO21tPZtnl2mZ5JeVkFOiBluuZJFqGBDFCCNHWFWfDng/V48ueBV3D+SxvVc7CzBkSQVc/d7sM46kr+hLq48aprGJeXHOs2df7YMtp3tt8CoCXrxvAAxPVYGvrSfvOxJiXkrr6ueNtYy6QaB8kiBFCiLZuxztgKIGwgWp13gYcPp/PhsQLaDVYAgN78PVw5sVrBwCwfNsZtiU1fcZk1cFU/vFTAgCPT+/N1YMjGBEdgJNWQ3JOCSk5JQ1cwXatWalXOJYEMUII0ZaV5sGu99TjcY/aVJn3nY3qLMwVA8PpHmjfbskTYoOYOzIKgEVfH6SwzNDAKy6241Q2C788gKLA7aO6cf+EGAC8XJ0YFOkH2HdJ6Vgr9UwSjidBjBBCtGW73wd9AQT1ht6zGjz9ZGYhqw+nA/DniT0dMqT/uzyeSH93zueV8o9VRxv12sT0Qu75eA/lRhPT+4ay5Iq+VnVbRvcMBGBrkv2WlFqr8aNwPAlihBCirSovhu3vqMfjHgFtwz+y39mQhKLAtL4hDvul7enqxCvXDkSjgS/3pLD+WIZNr0vNK+X2D3dRWFbB8O5deP3GQei01jNLYyuDmG0nszCZlGaPVVEUjqebl5NavmeScCwJYoQQoq3as0zdkdQlGvpe0+Dpydkl/HAgFYD5kxzbImBkTAB3j4kG4PFvD5FbXF7v+fmlBu5Ytov0gjJ6Bnvx/m3Daq0SPCjSD3dnHdnF5ZYCdc1xPq+UQn0FzjoN0XZeWhOtT4IYIYRoiwxlsO3f6vHYh0HXcG3SpZuSMJoUxscG0T/C8e0BHp0WR89gLy4U6lny45E6zyszGLn34z0czygixMeVj+4agZ+HS63nujhpGRHtD9gnL8a8lBQT6IWLk/zK62jkT1QIIdqi/Z9CUTr4dIWBNzV4elp+Kd/sTQHgwcmOyYWpyc1Zx6vXDUSn1fC/A6msOph60Tkmk8IjXx1g5+kcvF2dWH7niAa3fFuWlOyQFyNJvR2bBDFCCNHWGA2w5Q31eMxfwKn2WYvq3tt8CoNRYUS0P8O7+zt4gFUGRvoxr3Ib95MrD5NZWGZ5TlEUnv0pgZ8OpeGs0/CfW4cSH9ZwXsrongGA2rzSYDQ1a3yS1NuxSRAjhBBtzcGvID8ZPINgyG0Nnp5VpOeLXclAy83CVDd/ci/6hvuQW2Lg/747jKKoCbn//f00y7aeAeCV6wZadh41JD7UB39PF4rLjRxIyWvW2BLTpUZMRyZBjBBCtCUmI2z5l3o8aj44N1xt94MtpykzmBgY4WtZimlJLk5aXr1+IC46Lb8dzeCbvef4Yf95nvtZ3X79f5f3ZvagrjZfT6vVMKqHOhvTnOq95RUmki4UATIT01FJECOEEG1JwkrIPglufjD87gZPzy8x8Mn2s4A6I6KxoRieI/QO9eHhS2MBePrHIzz69QEA7hzTnXvGxTT6emN6VNaLaUZy7+msYipMCt6uTnZrvSDaFglihBCirTCZYPOr6vElD4Brw7MHy7edoUhfQe9Qb6b0DnbwAOt37/gYhkT5UVxuxGBUmNk/jCdn9mlSYGWeUfojJZeS8oomjedYZefq2FDvVgvuhGNJECOEEG3F8TWQeQRcvGDEvQ2eXqSvYNm20wDMm9QTrbZ1f1HrtBpevX4Qkf7uXNonhFevH9jkMUUFeBDRxR2DUWHX6ZwmXUOSejs+CWKEEKItUBT4/RX1ePifwKPhHUaf7ThLXomBmEBPLu8f5uAB2iY60JNNj06qs5hdYzR3SUmSejs+CWKEEKItOLURzu8FJzcYNa/B08sMRt7/XZ2FeWBij4vK97cme80IjellDmKaltxrrhETGyJBTEclQYwQQrQFmytnYYbeAV4N57Z8uTuFrCI9Xf3cuWqw7Tt/2pPRlTuUEtIKyGmgrUFNhWUGzueVAjIT05FJECOEEK3t7HY4uwW0zjD6oQZPL68w8Z9NSQDcP7EHzrqO+aM80MvVEoBsS2rcktLxyr5LIT6udbY4EO1fo//mb968mSuuuILw8HA0Gg0rV660ev6OO+5Ao9FYfUyfPt3qnJycHObOnYuPjw9+fn7cfffdFBUVNesbEUKIdsucCzPoZvBteFbl+z/OkZpfRrC3K9cNjXDw4FrXmJ5NW1Kqajcgnas7skYHMcXFxQwcOJC33367znOmT59OWlqa5eOLL76wen7u3LkcOXKEtWvXsmrVKjZv3sy99zaciS+EEB1O6h9w8jfQaGHsggZPrzCaWLpRnYW5d3xMs5Nn27oxlS0IGjsTI0m9nUPDbVFrmDFjBjNmzKj3HFdXV0JDQ2t97ujRo6xZs4bdu3czbNgwAP79739z+eWX88orrxAeHt7YIQkhRPtlzoXpfx34N1wU7qdDaZzJLqGLhzM3j4xy8OBa34joAJy0Gs5ml5CSU0Kkv4dNr7Nsr5ak3g7NIQupGzduJDg4mLi4OB544AGys6umAbdv346fn58lgAGYOnUqWq2WnTt31no9vV5PQUGB1YcQQrR7mUfh2Cr1eOzCBk83mRTe3nASgLvGROPh0uj/h7Y7Xq5ODIr0A2yfjVEUhcQMqRHTGdg9iJk+fToff/wx69at48UXX2TTpk3MmDEDo9EIQHp6OsHB1pn3Tk5O+Pv7k56eXus1n3/+eXx9fS0fkZGR9h62EEK0vN8rq/PGXwHBvRs8fe3RDI5nFOHt6sRto7s7dmxtiLlx5BYb82IyC/XklRjQaTX0DPZy5NBEK7N7EHPjjTdy5ZVX0r9/f6666ipWrVrF7t272bhxY5OvuXjxYvLz8y0fKSkp9huwEEK0huwkOPytejzu0QZPVxSFt9arszC3je6Gr7uzI0fXpoyp3Gq9PSnL0iG7Puak3u4BHh0+Z6izc/i+vJiYGAIDAzl5Uv3HFxoaSmZmptU5FRUV5OTk1JlH4+rqio+Pj9WHEELYww/7z3Pnsl2NrkPSbFtfB8UEPS+F8EENnr7+WCaHzufj7qzjrjHRDh9eWzI4qgvuzjqyisoty0T1SazsmdRbdiZ1eA4PYs6dO0d2djZhYWpJ7FGjRpGXl8fevXst56xfvx6TycTIkSMdPRwhhLDy/u+n2JB4gRW7k1vupvnnYH/lrs3xixo8PT2/jMe/PQjAraO6EeDl6sjRtTkuTlpGRKttGLacaDgvRir1dh6NDmKKiorYv38/+/fvB+D06dPs37+f5ORkioqKWLRoETt27ODMmTOsW7eO2bNn07NnT6ZNmwZAfHw806dP55577mHXrl1s3bqV+fPnc+ONN8rOJCFEi8so0APw65GMlrvp1jfBZIDu4yCq/v+8GYwm5n++j6yicuLDfHh4amwLDbJtqdpq3XBejDR+7DwaHcTs2bOHwYMHM3jwYAAWLlzI4MGDWbJkCTqdjoMHD3LllVcSGxvL3XffzdChQ/n9999xda36n8Nnn31G7969mTJlCpdffjljx47lvffes993JYQQNqgwmsgqUoOY/Sl5ZBSUOf6mRZmw7yP1eHzDuTAvrD7GnrO5eLs6sXTuENxdOmeOh7no3c5T2RiMpjrPqzCaOJGpFk+VGjEdX6P3502cOLHexKpffvmlwWv4+/vz+eefN/bWQghhV1lF5VT/cbY2IYNbLunm2JvufBcqyqDrMIieUO+pPx1M44MtapPHV68fSPdAT8eOrQ2LD/XB39OFnOJyDqTkMax77V2+z2SXUF5hwt1ZR5SNNWVE+9UxG24IIYQNas68/Jrg4CUlkxH2V/4HbvR80NTd7TnpQhGPfXMAgPsmxHBZ39o3PnQWWq2GUTHqklJ9LQgSLfkwXnbrpi3aLglihBCdVmahupTk76k2CNyelEVBmcFxNzy1EQrTwM0P4i6v87SS8goe+HQvxeVGRkb7s+iyOMeNqR2x9FGqp+idFLnrXCSIEUJ0WuaZmKHdutAjyBODUWFj4gXH3dA8C9P/OnCqfYeRoigs/u4QxzOKCPZ25d83D8apg3apbixzcu8fybmUlFfUeo55e7U0fuwc5F+GEKLTyqwMYkJ8XC3LNb8cqb1yeLOV5Ve1GBh0U52nfbrjLD/sT0Wn1fDWzUMI9nZzzHjaoSh/D7r6uWMwKuw6nVPrOdL4sXORIEYI0WmZt1cHe7txWZ8QADYey0RfYbT/zY58ryb0BvWG8CG1nrI/JY9nViUA8NfpvS21UYRKo9EwtnJJqbat1iXlFZzNKQFkOamzkCBGCNFpZRZWzcQMjPAj2NuV4nKjTbVIGs28lDTo5loTenOKy/nzp3sxGBWm9w3lT+M6V1VeW42uXFKqrejdiYwiFAUCPF0I7GQFATsrCWKEEJ2WZSbGxw2tVsOllbMxdi98l50EKTtBo4UBN1z0tNGk8JcVf5CaX0Z0oCcvXzcATT07lzqz0T3UmZiEtIKLWkVIkbvOR4IYIUSnZZmJqcw7mVaZF7M2IQOTqeFGgzYzz8L0mALeF2+VfnPdCX4/kYWbs5altwzB263zNHdsrCBvV0u+y/YaM2bHJIjpdCSIEUJ0Sgajiawi9X/ywT7q0sMlMQF4uzqRVaTnj5Q8+9zIZIIDK9TjWhJ6NyZm8ub6EwA8f01/aVpoA/NszJaT1ktKiRnmxo8SxHQWEsQIITolc7sBJ60Gfw+1ToyLk5ZJvYMB+DXBTruUzmyGgnPg6gtxM62eOpdbwoIv96MoMHdkFFcPjrDPPTu4sb3MfZRqBDGWmRgJBDsLCWKEEJ1S1c4kV6vKrpf1rcqLqa/Fis3MS0n9rgHnqu3S+goj8z7bR16JgQERviy5ok/z79VJjIgOwEmr4Wx2CSmVu5GyivRkFZWj0ajVekXnIEGMEKJTMhe6C/axrsMyITYIF52W01nFJF0oat5Nygog4Uf1eNBcq6eeXZXAgXP5+Hk4887cIbg6dc7Gjk3h5erEwEg/oGo25njlLEyUvwceLo1uCyjaKQlihBCdUvVCd9V5uzlbtvH+0txdSgk/QEUpBPSCiGGWh7//4xyf7khGo4HXbxhERBdpVNhYlhYElX2ULEm9IZIP05lIECOE6JSqF7qr6bI+6g6iZjeEtNSGuclSGyYxvZDF3x0C4MHJvZgYF9y8e3RSY3pU5cUoiiKVejspCWKEEJ1S9UJ3NU3tE4xGAwdS8kjPL7voeZvknILkbYAGBtwIqH2RlvxwmDKDiXG9AvnLlF5NHX6nNziqC+7OOrKKyknMKORYhiT1dkYSxAgh2pYKPRiaGDg0QvVCdzUFe7sxuDLnYm1TdymZt1XHTATfrgBsPpHFztM5uDhpeXHOAHRaKWjXVC5OWktbhi0nsjhhCWIkqbczkSBGCNF2KAp8dCW8MUBNinWgDEtOTO0NFs0NIZu0pGQywYEv1OPKhF5FUXj5l2MA3HpJN8L93Bt/XWHF3NX6y90plJQbcXHS0j3As5VHJVqSBDFCiLYj9zSk7ICiDEjb79BbZRaqMzFxZz6FpWMg85jV8+aGkNuTsskvNTTu4me3Ql4yuPpAb7U2zOrD6Rw+X4Cni44/T+zR/G9AWIrenchUd5H1DPLCSSe/1joT+dMWQrQdpzdXHV9IdNhtyitMlr47QUc/gYzD8M2dYCi1nBMT5EXPYC8qTAobEzMbdwNzQm/fq8DFgwqjiVd+Vb+fu8fFECDNCe2iT5gPXTyqWjRIUm/nI0GMEKLtaKEg5kJltV5PXQXavNPqg5kJ8OuTVudN69uEhpD6InVrNViWkr774zynLhTTxcOZe6Q7td1otRrLbAxIz6TOSIIYIUTboCg1gphjdZ/bTOZ8mKGe2WgUE2gr/ze/+3049rPlPPNW642JmZQZjLZd/OiPYCgG/xiIHIm+wsgbv6m9kf48sac0d7Qzc00fkCCmM5IgRgjRNlw4BsUXqn3tuJkYc6G7gW6VO4+6DoFR89XjH/4MBakA9O/qS6iPG8Xlxos6JtfJvJQ08GbQaPhsRzLn80oJ9XHj1lHd7PltCGBsz6qZGGme2flIECOEaBvMszARI9TPxZlQkuOQW5mTenvr1GCFoDiY8hSEDYTSXPjuXjAZ0Wo1XFqZ4GtTQ8jcs3Dmd0ADA2+kWF/B2xtOAvDQlF64OUtrAXuL8vdgwdReLJjai1Df2neaiY5LghghRNtgDmJ6Xw4+ld2cs4475Fbm5aRoU7L6QFA8OLnAnA/B2VMNRLa+DlQ1hFybkIHR1EBDyINfqp+jx4FfJB9uOU12cTndAzy4bph0qHYEjUbDgqmxLJga29pDEa1AghghROszGStnMIDu49WZEXBYXoy50F2o4az6gPl+gT3h8pfU4/XPQcpuRkYH4O3mRFZROftTcuu+qKLA/s/U40FzySsp573NpwB4+NJYnGXrrxB2J/+qhBCtL/0QlOWrdVXCBkJQb/XxC46biXGmAr/SFPUB8/1A3VHUbw4oRvj2blwqCpncW+1vVG9DyOTtkHsGXLwg/gqWbkqiUF9BfJgPVwwId8j3IURnJ0GMEKL1mZeSuo0BnRMEVS4NOGgmJrNAT7QmDa1iVAMnn2pBhkYDs14DvyjIOws/PcJl8eqS0i9H0lGUOpaUzAm9fa4io0zH8q1nAFg0LRattBcQwiEkiBFCtD5zEBM9Xv1smYlxzA6lzMIyemnOV94rztJh2sLNF+Z8ABodHPqaKYb1uOi0nM0usVSHtVJeAkdWqseDbubf60+grzAxtFsXJkmXaiEcRoIYIUTrMhrg7Db12BzEBFbOxBScA32hXW+nrzCSW2Kgl/ac+oA5H6amyBEwcTEAbr8+zjXd1Gq+vx6pZZfSsVVQXgh+3TjrNYAVu9RlqsemxaGpGSAJIexGghghROs6v08tDucRAMF91Mc8/MFLXcKx9w6lzMqk3jiteSYmvu6Txy2EbmOhvIhFRS/jTEXtDSEtCb0389pvJ6kwKUyIDWJkTMDF5woh7EaCGCFE6zIvJXUfC9pqP5LMszF2XlLKLFS3V1fViOld98laHVzzHrh3IaAggUedvuLguXxS86p6LJF/Dk5tAiApfBY/HFCvu2haHTM8Qgi7kSBGCNG6TqsBgGUpycySF2Pf5N7MAj1OVBCpVCt0Vx/frnDlWwDc57SKsdpD/Ha02mzMgRWAAt3G8vz2MhQFZvYPo19XX7uOWwhxMQlihBCtx1AGKbvU4+gJ1s9ZasXYdyYmo6CM7pp0nDCq26F9bShCFz8Lht0FwL+cl7L9YOWYFMWyK+lM5Gx+O5qBVgMLL5PCa0K0BAlihBCt59wuMOrBOwwCelo/56ggplBf/86kukz7J+X+cQRr8rj+/D/JLy6Hc7shJwnF2YOnT/YA4NqhEfQI8rLrmIUQtZMgRgjReqpvra4ZTJiXk3LPgKEUe8koqL69up58mJqc3XG5YRnlODNJu5+zq/9lSejNjJjGxjNluOi0/EXK3wvRYiSIEUK0npr1YarzDAL3LoACWSfsdssLhXpiLdurGxHEAIT0ZXP0AgDij7wCh74B4N/ZwwG45ZJudPVzt9dQhRANkCBGCNE69IVwfq963H3cxc9rNA4pepdRUEbPpszEVAqePI+1xqE4KwYoL6LUI5zPMqPwcNHx50k97DZOIUTDJIgRQrSO5B1gqgC/btClW+3nmLdZZ9kviMnKLyFGY+POpFr0j/DjFbcHSVe6APBtxVgUtPxpbDSBXq52G6cQomESxAghWkddW6urs/M26zKDkS76FFw0RhRnT/CNbPQ1NBoNI/v14vbyx/lYdw3PF0zDz8OZP42PscsYhRC2kyBGCNE6LPkwE+o+x847lDIL9NWWkmKti+s1wmV9QklUolhSfC3FuPPAhB74uDnbZYxCCNtJECOEaHmluZB2UD2OriUfxsw8E5NzCirKm33b6o0fNU3IhzEbGeOPt5sTACE+rtw+unuzxyaEaDwJYoQQLe/MVkCBwDjwDq37PJ9wcPFWc2dyTjX7thkFenppm57Ua+as0zJ7UDgAj1wWh5uzrtljE0I0ngQxQoiWZ1lKqmcWBip3KJl7KDU/LyajoIxYTRO3V9fw5Kw+/LZwPNcPa3xejRDCPiSIEUK0vPrqw9Rkx23WmQVFxGjSKq/bvAaNrk46egZ7N3tMQoimkyBGCNGyijLhwlH1uLb6MDWZgw07bLM2ZZ/FVWPAoHVTt3YLIdo1CWKEEC3LPAsT2h88/Bs+P9B+O5Tc8o4DUOQd0+SdSUKItkP+FQshWpYtW6urs8zEnABjRbNu7VuUBIDBX/obCdERSBAjhGhZZ35XP9uSDwPgFwVO7mq367yzzbp1iP4MALrg5iX1CiHaBglihBAtJy9F3Sqt0UHUKNteo9VBYC/1uBlLSqXlRqJNKQC4R/Rt8nWEEG2HBDFCiJZjnoUJHwxuPra/zlK5t+nbrDPzi+lR2TPJPVyCGCE6gkYHMZs3b+aKK64gPDwcjUbDypUrrZ5XFIUlS5YQFhaGu7s7U6dO5cSJE1bn5OTkMHfuXHx8fPDz8+Puu++mqKioWd+IEKIdaMzW6urs0H4gLzUJN40BPS5ounRv8nWEEG1Ho4OY4uJiBg4cyNtvv13r8y+99BJvvvkm7777Ljt37sTT05Np06ZRVlZmOWfu3LkcOXKEtWvXsmrVKjZv3sy9997b9O9CCNH2KUozgpjmN4LUpx0BINUpUl2iEkK0e06NfcGMGTOYMWNGrc8pisLrr7/OE088wezZswH4+OOPCQkJYeXKldx4440cPXqUNWvWsHv3boYNGwbAv//9by6//HJeeeUVwsPDL7quXq9Hr9dbvi4oKGjssIUQrS3nFBScB50LRI5s3GvNQUzWCTCZmrY9ujIAynLvTnTjXy2EaIPsmhNz+vRp0tPTmTp1quUxX19fRo4cyfbt2wHYvn07fn5+lgAGYOrUqWi1Wnbu3FnrdZ9//nl8fX0tH5GRUuZbiHbn9Cb1c8QIcPFo3Gu7RIPWGQzFUHCuSbd3zzsJQJF3zya9XgjR9tg1iElPTwcgJCTE6vGQkBDLc+np6QQHB1s97+TkhL+/v+WcmhYvXkx+fr7lIyUlxZ7DFkK0hNPmrdU2VOmtSecEAZXBRxPzYvwqa8SUB0iNGCE6inaxO8nV1RUfHx+rDyFEO9KcfBiz5uxQMpkILldrzOhC4pt2fyFEm2PXICY0NBSAjIwMq8czMjIsz4WGhpKZmWn1fEVFBTk5OZZzhBAdTOZRKMlSi9Z1Hdbw+bVpzg6l/GRcFT16xQmPkB5Nu78Qos2xaxATHR1NaGgo69atszxWUFDAzp07GTVKLWw1atQo8vLy2Lt3r+Wc9evXYzKZGDmykcl+Qoj2wTwL020UOLk07RrNCWIy1dmbU0o4IX5eTbu/EKLNafTupKKiIk6ePGn5+vTp0+zfvx9/f3+ioqJYsGAB//jHP+jVqxfR0dE8+eSThIeHc9VVVwEQHx/P9OnTueeee3j33XcxGAzMnz+fG2+8sdadSUIIO1AU+OMTdZdP5IiWv39zl5Kg2jbrRPX70Whsfml5egIuwAmlK5N93Jo+BiFEm9LoIGbPnj1MmjTJ8vXChQsBuP3221m+fDmPPfYYxcXF3HvvveTl5TF27FjWrFmDm1vVD47PPvuM+fPnM2XKFLRaLXPmzOHNN9+0w7cjRDuhKJC8A0L6Nq5ybVOd3gQ/PgiuvrDgILj7Of6eZiYjnNmiHjcniAnoCRot6POhKAO8bV9+1qcdxQU4q4nEy7XRP/aEEG1Uo/81T5w4EUVR6nxeo9HwzDPP8Mwzz9R5jr+/P59//nljby1Ex7F2CWx7EwbcCNf8x/H3O/aT+lmfDzuWwqTFjr+nWdoB9b6uPhA6sOnXcXJVt1rnJKnJvY0IYjQXjgJwwSOm6fcXQrQ57WJ3khAdyv7P1QAG4Oj/wFBW//nNpSiQuLrq6x3vQGmuY+9ZnSUfZoy6Vbo5qi8p2cpkwi1P3V5d6C1JvUJ0JBLECNGSknfC//6iHmu0avE2cxE4R8k4DPkp6s6goN6gL1BnY1qKueljc5aSzJqyzbrgHE7GEsoVHUoXqdUrREciQYwQLSUvBb6cC8Zy6D0Lht2lPn5slWPva56F6TEZJv2ferxjacvMxlSUw1m1Wrd9ghjzTMxx219TbWdSkK9n88cghGgzJIgRoiWUF8OKm6D4AoT0h6v/A/FXqM8lrlaTXx0l8Wf1c9wM6H0FhPRTZ2O2197E1a5S96mzTR4BENyn+dcLqqy225iZmMpzTypdCZGdSUJ0KBLECOFoJhN8fz+kHwLPILjpc3D1UnNE3HzVwObcbsfcuyAVUv8ANBA7TW2cOOFx9bkd70JJjmPua2bOh+k+rmlNG2sKrAxiSrKgOMu211Tmz5wwdSXI27X5YxBCtBkSxAjhaJtehKM/qg0Mb/gU/KLUx3XOEDtdPXbUktLxNerniOHgVdmzrPcsdTaovBC2v+WY+5pZ6sM0oV9SbVw8q94/W5N7K3cmHVciZCZGiA5GghghHOnwd7DpBfX4ijcg6hLr53vPVD8fXaXuIrI3cz5M3Iyqx7RamPhX9Xjnf6A42/73BTCUQkplZ/roCfa7rjkvJsuGIEZRqmZiZDlJiA5HghghHCV1P6z8s3o8aj4MnnvxOT2mgM4Vck+r/YXsSV8Epyp3PsVdbv1c75kQ2h/Kixw3G5OyU01i9g6r6kBtD+YlJVtmYgrOQ3kRBkXHWSWUYFlOEqJDkSBGCEcoTIcVN0NFKfS8FC6to/ijqxf0qKyAbS5IZy+nNoBRrxaIM29NNtNoYGJlwbtd7zlmNuZ0ta3VjWgR0CDLDiUbknsrdyadVkJxdXXDU6r1CtGhSBAjhL0ZymDFXHUWIDAWrv0AtLq6zzcvKdk7L8aylHR57UFE3OUQNlCdjdnmgLYf9uiXVJvGFLyrDHROKF0J9pFZGCE6GglihLAnRVGL2Z3fA25+cNMKdQdSfWJnABpI2w/55+wzDpOxKqm3ej5MdVazMe/bvtvHFifXqe8BqDuT7Mm8zbowDcry6z/Xsr06ghBvyYcRoqORIEYIe9r6BhxcARodXP8xBNhQ5t4rqCrh99jP9hnHud1Qkq0GUjWTiauLnQ7hg9VaLlvfsM+9U/fDV7eBYoIBN0CXbva5rpmbr5pnAw0XvasMYo6bIgiRmRghOhwJYoSwl8TV8NvT6vGMFyGmETty7L2kZC5w1+sydSt3XarPxuz+LxRdaN59c8/AZ9epS1Tdx8GV/27e9epiS/uBGjuTgmVnkhAdjgQxQthDRgJ8+ydAgWF3w4h7Gvd6cxBzZot92gFY8mGmN3xur8sgfAgYSmDr602/Z3E2fDoHijMhuC/c+JnaedoRbNlmXZgG+gKMaDkjO5OE6JAkiBGiuYqz4Ysbq2YfZrzY+Gv4x6i/+BUjHP+1eePJOglZx0HrBD2nNny+1WzMB1CU2fh7lpfAFzdA9knwiYBbvmk4F6g5LDMx9QQxlVvW03RdKcdZasQI0QFJECNEc1SUq/kfeWehS3c1D6a+5Zv62GtJ6XjlLEz3sbYHEr0uha7D1C3hjc2NMVbAt3ereThuvnDLt+AT3rhrNFagDctJlQFOEl0BJIgRogOSIEaI5tj+FpzdAi7ecNOX4OHf9GuZg5iT69Rqt01VfWu1rWrOxhRm2PY6RYGfH1VzcHSu6m6s4N6NG29TmJeT8pLV5pq1qQxwEgxqQCXLSUJ0PBLECNFUFXrY+a56POPF5v/yDhuoLsUYiqsq7TZWSQ4kb1ePY23Ih6mu5xS1x1JFqe25Mb+/AnuXARqY8z50G924ezaVZwB4BKrHWSdqP8ccxFRUBjGyO0mIDkeCGCGa6vC3UJQB3uHQ/7rmX0+jaf6S0olf1a3NIf0av7W5+mzMng/VqsP1+eMzWP8P9XjGS9BnduPH2xz15cUoSrVCdxF4uznh4SLVeoXoaCSIEaIpFAW2v6Mej7wXnFzsc11zEJO4Wi1Y11jmrdV1FbhrSI/JEDECKspgy2t1n3diLfz4oHo8ZoH6HrS0+rZZF2VAWT6KRstpJVTyYYTooCSIEaIpTm+GjEPg7AFD77DfdbuNVgvUlWRVdYC2VYVezaeBpgcxGg1MMs/GLIOCtIvPOb8Pvrpd3Uk14AaY8lTT7tVc9bUfqNyZVOQRhR4XKXQnRAclQYwQTbH9bfXz4FvAvYv9rqtzrsplaWxDyDO/q9u8vUIhbHDTxxAzCSIvUZtH1pyNyTkFn1+v5u3ETIQr3wJtK/0YMc/E1FYrpjKwyXKPBiBYWg4I0SFJECNEY104Did+ATQw8n77X796Xoyi2P666gXumhNYVJ+N2bscClLV4+KsymJ2FyC0P1z/if2W0ZrCvM0655Q6C1Vd5RLTOacoQJJ6heioJIgRorF2VObC9J5pW2+kxuo5BZzc1BL+mQm2vUZRmra1ui7REyBqtDob8/u/1G3Mn1+vBgy+UTD3G3Dzaf59msM7FFx91UTm7JPWz5kbPxIBIM0fheigJIgRojGKs+HAF+rxqHmOuYeLp7qkA7YvKaUfhILzao5O9Pjmj6H6bMy+j9SKxOf3qktnt3yrBhCtTaOpPblXUSw5MQkGtVGkJPYK0TFJECNEY+z5UN25Ez4YokY57j6N3WptnoXpMRmc3e0zhu7joNsYMJaricxObmpBv6BY+1zfHixBTLVu1sUXoCwPNFr+KAkCZDlJiI5KghghbFWhh13vqcej5qszAY4SNwM0Wkg7AHkpDZ/f3K3VtaleN0ajhTkfQNRI+12/Dmn5pZzMLLLt5NpmYipnYZQu3TlXpOYUyXKSEB2TBDFC2OrQN2qHZp+uji/s5hlYNdNjDlDqkn9eDXbQQK9p9h1H9Di49kM1ByZ+ln2vXYsKo4lrl25n5pu/cz7PhtYLtW2zrjyu8I+lzGACZCZGiI5KghghbKEoVduqR97X9CaPjWHrkpK54WPkCPAKsv84+s1Rk41bwI5TOZzPK0VfYWLdURv6N5lnYrJPqo0owTIrU+itJl37ujvj5qxzxHCFEK1MghghbHFqI2QeAWdPGHJ7y9zTvMvozFa1J1JdLLuS7LiU1Ep+PlxVXG/d0cyGX+ATof6ZmAyQe1p9rHIm5oJ7DCCNH4XoyCSIEcIWVsXt/Frmnv7Rag8kxaj2RKqNvlBNugX7bK1uRRVGE78crurXtD0pm2J9Rf0v0mohsJd6bM6LuaDmxJyvrBEjO5OE6LgkiBGiIZnH4ORaQAOXOKC4XX0aWlJKWq/uHvKPgcA2tGuoCXadziG7uJwuHs5EdHGn3Ghi68mshl9oyYs5phbkK8kGNCQp0r1aiI5OghghGlK9uJ1/TMve2xzEnFwHhloSXasXuHPkbqkWYF5KmtY3lKnxIQCsP2bDklL1bdbm2Zgu3ThfrL4fMhMjRMclQYwQ9SnOggMr1ONR81v+/qEDwDcSDCVqXk51xgo4/ot63M7zYYwmhTWH1UTeGf3DmBIfDKhBjMnUQOuF6jMxldurCepNZmEZACGSEyNEhyVBjBD12f2BWno/fAhEXdLy99doqmZjjtZYUjq3C0pz1K7Xka0wNjvadTqHrCI9fh7OjO4RwIhofzxcdGQW6jmSWlD/iy2NII9XtWkIiiOjQO2nFCwzMUJ0WBLECFEXQxnsfl89HjWv9ZZrzEFM4s9V24jNXwPETgOdU8uPy45WVy4lXdYnBGedFlcnHeN6BQKw7lgDW639uoHOVa2kfOI39bGg+KqZGMmJEaLDkiBGiLoc+lotYe8T4fjidvWJGq3OtpTmQMrOqsc7yNZqo0lhdeWupBn9wyyPT+ltY16Mzqlqh1J+MgBK9ZkYqdYrRIclQYwQtWmN4nZ10TlVBSrmhpBZJ9QCb1pn6NEyhegcZc+ZHC4U6vFxc2JMj0DL4xN7q4X7Dp7LJ7OgrP6L1NiZle/ZnfIKqdYrREcnQYwQtUlar9YbcfGCIbe19mist1orStUsTPQ4cPNpvXHZgXkW5rK+obg4Vf1ICvZ2Y2CELwAbEhuYjTEn9wL4RZFRpgadfh7OuDpJtV4hOioJYoSojaW43a0tV9yuPj0mq12k885CxhHrrdXtmMmkWPJhLu8fetHzkyuXlBqs3mtO7oUaO5NkKUmIjkyCGCFqykiApHVq5+aR97X2aFQunmogA7DvY0jZoR7HTm+9MdnB3uRcMgr0eLs5MaZn4EXPm7dabzmZRZnBWPeFqs/EWO1MkqUkIToyCWKEqMlS3G6WWvq/rehd2UV69/ugmCC0P/hFtu6YmunnQ+oszKXxIbUu+/QN9yHEx5WSciM7T9fTP8o/BjSVrw+KJ6PAvDNJZmKE6MgkiBGiuqJMOPiVetwaxe3qEztdnR1S1ITVDrGUdEjNh7m82q6k6jQaDZN7Vxa+q6+rtZMLhA9Sj7sOtSQCS/NHITo2CWKEqM5c3K7rMIgc0dqjseYZoG63NmvnW6v/SMklvaAML1cnxsVevJRkZsmLOZaJotRTvfeGz+DutRDcm8xCdTlJZmKE6NgkiBHCzFAKu/+rHrdmcbv6mHcpeYdB2KBWHUpz/Vw5CzM1PrjeHURjegbg4qTlXG4pJzKL6r6gT5gl8KxaTpKZGCE6MglihDA7+BWUZKm9iuKvbO3R1G7wLdD/Opj+QtsMsmykLiWZdyXVvpRk5uHixOgeAYANu5QqScsBIToHCWKEgBrF7e5vu2X83Xxgzn+h71WtPZJm2X8uj9T8MjxddIyPDWrw/CnmvJiGWhAAiqJUazkgQYwQHZkEMUIAnPwNshLBxRuG3Nrao+nwzLMwU+JDcHNuuBjdpMogZu/ZXPJKyus9N7fEgMGo5s4EeclykhAdmQQxQhRmwP/+oh4PuQ3cfFt3PB2coiiWfJiGlpLMIrp40DvUG5MCm45fqPdc8yyMv6eLVQVgIUTHI//CRedmKIMv50LBeQjoBRMea+0RdXgHzuVzPq8UDxcdE+MaXkoyM2+1bigvpqrxo8zCCNHR2T2Iefrpp9FoNFYfvXtXVdMsKytj3rx5BAQE4OXlxZw5c8jIaHidWwi7UxRYtQDO7Va7RN/8ZdtoMdDBmZeSJvcOtmkpycxcvXdjYiYVRlOd50mhOyE6D4fMxPTt25e0tDTLx5YtWyzPPfzww/zvf//j66+/ZtOmTaSmpnLNNdc4YhhC1G/bm3DgC7XS63XLIaBHi9xWX2Hk7Q0nGfLsWu7/ZC/HMwpb5L5tgaIo/FQZxMy0cSnJbFBkF7p4OFNQVsHes7l1nieF7oToPByyBcPJyYnQ0IubueXn5/PBBx/w+eefM3my2gdm2bJlxMfHs2PHDi655JJar6fX69Hr9ZavCwoKHDFs0Zkc/wXWPqUeT38Bekxqkdv+fuICT/1whFNZxQCsOZLOLwnpzB4YzoKpsXQP9GyRcbSWw+cLOJdbiruzjolxwY16rU6rYVJcMN/9cZ71xzIZGRNQ63lS6E6IzsMhMzEnTpwgPDycmJgY5s6dS3JyMgB79+7FYDAwdepUy7m9e/cmKiqK7du313m9559/Hl9fX8tHZGT77hcjWlnmUfjmbkCBoXfCiHscfsu0/FLmfbaPWz/YxamsYgK9XHl2dl8u7x+KosDK/alM+dcm/vrtQc7nlTp8PLZSFIVVB1PZejLLLtf7qdpSkruL7UtJZpMrl5TWHas7L0YK3QnRedg9iBk5ciTLly9nzZo1LF26lNOnTzNu3DgKCwtJT0/HxcUFPz8/q9eEhISQnp5e5zUXL15Mfn6+5SMlJcXewxadRUkOfHEjlBdCt7Fw+csOLRpnMJr4z6Ykpry6iZ8OpaHVwB2ju7P+0QncOqo778wdyqoHxzIpLgijSWHF7hQmvbyRp388Ytll05p+Tchg/ud/cMsHO1l1MLVZ11J3JdlW4K4u43oF4aTVcDKziLPZxbWeI4XuhOg87L6cNGNGVT+XAQMGMHLkSLp168ZXX32Fu7t7k67p6uqKq6v8r0o0k9EAX90GuWfArxtc/zHonB12ux2nsnly5WFLqfwhUX48e1U/+oZbb+Hu19WXZXeOYO/ZHF7+JZEdp3JYvu0MX+5O4fbR3bl/Qgx+Hi4OG2ddSsor+PuPRwA1B3rhlwcI9HLlkjqWcRpyJLWA5JwS3Jy1TOpt+66k6nzdnRne3Z/tp7JZfyyTO8dc3GVccmKE6DwcvsXaz8+P2NhYTp48SWhoKOXl5eTl5Vmdk5GRUWsOjRB2oyjw8yI48zu4eKk7kTyb9su4IZmFZSxY8Qc3vreDE5lF+Hu68NK1A/jm/tEXBTDVDe3mzxf3XMJnfxrJoEg/Sg1G3t2UxLgXN/DGbycoLDM4ZLx1eXPdSVLzy4jo4s6lfUIoN5q45+M9JKY3LRHZPAszKS4YD5em///JvEtpfS1LSiaTwoUiyYkRorNweBBTVFREUlISYWFhDB06FGdnZ9atW2d5PjExkeTkZEaNGuXooYjObPd/Ye8yQANzPoDgeLvfosJo4sMtp5nyyiZW7k9Fo4G5I6NY/8gErh8WiVbb8LKVRqNhTM9Avv/zaP572zDiw3wo1Ffw2m/HGf/SBv6zKYnScqPdx17TiYxC/vv7KQCevqIv/75pMMO6daGwrII7lu0iLb9xeTv2WEoyM9eL2XEqmyJ9hdVzuSXlVdV6ZSZGiA7P7kHMo48+yqZNmzhz5gzbtm3j6quvRqfTcdNNN+Hr68vdd9/NwoUL2bBhA3v37uXOO+9k1KhRde5MEqLZTm2E1Y+rx1Ofhrjpdr/F3rM5XPHWVp5ZlUChvoIBEb6s/PMYnru6f5OWgjQaDVP7hPDTg2N56+bBxAR5klti4PnVxxj/8gZ+OVJ3DllzKYrCEysPU2FSmBofwtQ+amuA/94+jB5BnqTll3HHh7vJL7V9ZuhoWiFnsktwddJagpCmignyIjrQE4NRYcsJ6+q95nyYQC8XnHVSy1OIjs7u/8rPnTvHTTfdRFxcHNdffz0BAQHs2LGDoCB1Dfy1115j1qxZzJkzh/HjxxMaGsp3331n72EIocpOgq9uB8UIA26EMX+x6+ULywws+voAc5Zu52haAb7uzjx3dT++//MYBkb6Nfv6Wq2GWQPC+XXBeF65biARXdy5UKjnwS/+4PD5/OZ/A7VYuf88O0/n4Oas5akr+lge9/Nw4aO7RhDs7UpiRiH3frwHfYVts0LmWZiJcUF4ujY/Fa+u6r0ZheZ8GFlKEqIzsHsQs2LFClJTU9Hr9Zw7d44VK1bQo0dVETE3NzfefvttcnJyKC4u5rvvvpN8GOEYZfnqTqSyPIgYDle8YdedSIqi8MhXB/h67zkArh8WwfpHJjB3ZDd0NiwdNYaTTsu1QyNY/8hEpvQOprzCxP2f7iW/xL55MvmlBp776SgAD07uRaS/h9XzEV08WHbncLxcndh5OoeFXx3AZFLqvaY9l5LMzF2tNyRmWt3fktQr26uF6BRkvlV0TCYjfHMXZB0Hn65ww2fgbN//nX+2M5lfEzJw1mn4/J6RvHTtQAIc3DXZxUnLv64fRKS/O+dyS1n41f4Gg4jGePXXRLKKyukR5Mk942JqPadvuC//uXUozjoNPx1M47mfj9Z7zcSMQk5lFePipGVKfIhdxjmsuz/erk5kFZVzsNqMVGblclKIzMQI0SlIECM6prVL4ORv4OQON34O3vb55Wl2PKOQZ1clAPD49N6M7hFo1+vXx9fDmaVzh+LipGXdsUyWbkqyy3UPncvnkx1nAXh2dr96O0CP6RnIy9cOBOCDLactScC1+fmgOgszITYILzssJYEazI2PVZeo1x+t6r1mXk6SQndCdA4SxIiO549PYftb6vHVSyF8kF0vX2Yw8uDnf6CvMDE+Noi7aqlV4mj9uvry7Oy+gDp70tyKukaTwhMrD6EoMHtQOKN7NhyUXTW4K4tnqM1d//HTUX48cHExvOb0SmqIJS+m2lZrKXQnROciQYzoWJJ3wP8WqMcT/gp9r7b7Lf7581ESMwoJ9HLh1esG2rR12hFuGB7FdUMjMCnw0Bd/kJ7f9Aq/X+xK5sC5fLxdnfjb5bZvP793fAx3jO4OwCNf7WdbjWDqRGYRSReKcdFpLS0D7GViXBAajVpEz/y9S6E7IToXCWJEx1FWAN/+CUwG6DMbJjxu91usTcjg4+3qkssr1w1s9Vokz17Vj/gwH7KLy/nzZ3sprzA1+hpZRXpeWnMMgEcui23ULIZGo+HJWX2Y0S8Ug1Hhvk/2cjStqkHrT5VLSeNjA/Fxs2915AAvVwZX7gAzF76T5o9CdC4SxIiO45fFkJ8CXbrD7HdAa9+/3un5ZTz2zQEA/jQ2utFdmB3BzVnHu7cMwdvNiX3JeTy/uv4k29o8//MxCsoq6Bvuwy2XdGv063VaDa/dMIgR3f0p1KvF8MxNLO29K6kmc6Lw+mMZmEyKBDFCdDISxIiOIXGNmguDBq5aCq5edr280aTw8Jf7yS0x0Dfch0XT4+x6/eboFuDJq9epSbbLtp5pVKPGnaey+XbfOTQa+MdV/XBqYoE4N2cd7982jF7BXmQU6Lnjw13sPZvDicwinHUau+1KqsmcF7PlZBbn80oxmhQ0GrXYnRCi45MgRrR/JTnwv4fU41HzoNtou9/i3U1JbD+VjbuzjjdvGoyrk87u92iOy/qG8sBEtR7T498c5GRl08n6GIwmnvzhMAA3Do9icFSXZo3B18OZ5XeNIMTHlROZRdzy312A2nna190xjTZ7h3oT7utGmcFkSSwO8HRtcjAmhGhf5F+6aP9+egSKMiAwDiY/affL/5Gcy7/WHgfg71f2pUeQfWd57OWRS2MZFRNAcbmRBz7dS3GNvkI1Ldt6muMZaoPKx6bZZ2apq587y+8cgberE6UGtZqvo5aSQM3JMScMr9idDMj2aiE6EwliRPt2+Fs48h1odHD1u3YvaFdQZuChFX9gNCnMGhDGdcMi7Hp9e3LSaXnzpsEEe6szIYu/O4Si1F4ILzWvlNd/OwHAX2f0poun/ZZf4sN8+M9tajE8TxcdlzpoKclsSm/1+ik5ah6O5MMI0XlIECPar8IMdRYGYPyj0HWIXS+vKApPrjxMSk4pXf3cee7q/mjs2LbAEYK8XXl77hB0Wg0/Hki1FK+r6dlVCZSUGxnWrQvXDrF/YDa6RyCr/zKOH+aPwdfDMUtJZqN6BODmXPWjTGZihOg8JIgR7ZOiqHkwpbkQOgDGPWr3W3y37zw/7E9Fp9Xw5k2DHJbXYW/Du/tbitA9uyqBfcm5Vs9vSMxk9eF0dFoNz17Vz2F1bnoGe9Mz2Nsh167OzVnH2GrF+aT5oxCdhwQxon3a/xkcXwM6F3UZycm+u1HOZBWzpDLp9S9TejG0m79dr+9od4+N5vL+au2WeZ/tI7tI3XpcZjDy1A9HALhzdHfiw3xac5h2M7l31ZKVNH8UovOQIEa0P3nJsPqv6vGk/4OQvna9fHmFiYdW/EFxuZER0f7Mm9TTrtdvCRqNhhfnDCAm0JO0/DIWfLkfo0lh6cYkknNKCPFxZcGlsa09TLsxb7UGaf4oRGciQYxoX0wm+GEelBdCxAgY/ZDdb/Hq2kQOnsvH192Z128YhK6V2go0l7ebM0tvGYq7s47fT2Sx+LuDlmaRS2b1tVszxrYg1NeN8bFBuDlr6du1Y8wuCSEa1nF+ionOYfd/4fRmtTv11e+C1rpeS2ZhGdtOZhPq60ZciHejd938fuIC/9mkdmR+cc4Awv3c7Tb01hAX6s3z1/RnwZf7+WrPOQDG9Qrk8v6hrTwy+/vPLUMpNRjxt+NOKyFE2yZBjGg/spNg7RL1+NJnIKCH1dNbT2bx4Bd/kFNcbnksyNuVuBBv4kK9iQvxJjbUm17BXnjWMguRXaRn4VdqW4GbR0YxvV/H+EV/1eCu7Dmbw6c7knHRaXlmdr82v8uqKdxddLi7tK0ihEIIx5IgRrQPJiN8fz9UlEL0BBj+p6qnTApLNyXx6q+JmBSI8vdAQSElp5QLhXouFOrZUqO7cpS/B7Eh3sSFelV+9ualNYlcKNTTK9iLJ2f2aenv0KGenNUHP3cX+nX1ITrQs7WHI4QQdiFBjGgftr0J53aBizfMftvS3DG/1MAjXx3gt6MZANwwLJK/z+6Lm7OOIn0FJzIKOZ5RSGJ6EYkZBSSmF5FVpCc5p4TknBLL68xcnNSCcR3tf/SuTjoetVNVXiGEaCskiBFtX8YR2PBP9XjGC+AXCcDRtALu/3QvZ7NLcHHS8syVfblxRJTlZV6uTgyO6nJRT6DsIj3HM4o4nlHIsXQ1yDmeXkihvoKnr+jbYbYdCyFERydBjGjbKsrVZSRjOcROh0FzAfhu3zn+7/tDlBlMRHRxZ+ncofSP8LXpkgFerozycmVUjwDLY4qiUGow4uEi/ySEEKK9kJ/Yom3b/DKkHwT3LnDFm+iNJp5dlcCnO9RmfxNig3jjxkH4eTRvR4pGo5EARggh2hn5qS3arvN74fdX1eOZ/yLV6MMD/9nBgZQ8NBp4aHIv/jKll8PK5gshhGjbJIgRbZOhFL5/ABQj9L2GLa7jeejfW8gpLleL0N04iElxwQ1fRwghRIclQYxoWYoCZflQnAXFFyo/Mmt8nQV5KZCfjOIVwge+8/jnhzsxKdCvqw9L5w4l0t+jtb8TIYQQrUyCGNF8hjIoyaoKQCzBSLWvi6oFKiaDTZdVdK686fkXXlt/8fZpIYQQQoIY0TBFgaR1kLyzRoBSGaToCxp/TVcf8AwEz6BaPgI5XebBwnXF/HHWDRcnLc/O7ssNw6Mavq4QQohOQ4IYUb9Tm2D9P9RCc/XROlsCkOrBiOXYK7jqa49AcK6907DRpPDe5lP8a20iBqNbo7dPCyGE6DwkiBG1S9kF659Vmy2C2nCx3zXgF1X7DIqbLzSzH09ydgkLv9rPnrO5AFzaJ4SXrx3Q7O3TQgghOiYJYoS1tIPqzMuJX9Svtc4w7E4Y9wh4O6YhoqIorNidwrOrEigpN+Ll6sRTV/Th2qERHbJRoRBCCPuQIEaoLiSqpf0TVqpfa3Qw6GaY8Jg6++IgmYVlLP72EOuOZQIwItqfV68bKLuPhBBCNEiCmM4u5zRsehEOfgmKCdBAvzkwcTEE9nTordccTmPxd4fILTHgotOyaFocd4+NluJ1QgghbCJBTGeVf14t6f/HJ2CqUB/rPQsm/R+E9HXorQvKDDz94xG+23cegPgwH16/YRBxod4Ova8QQoiORYKYzqYwA7a+Abv/C0a9+liPyTD5Ceg61OG333Yyi0e/PkBqfhlaDdw/oQcLpsbi4qR1+L2FEEJ0LBLEdHT6Qji7Td1ldGoTZByqei5qFEx+ErqPcfgwygxGXlqTyIdbT6u39vfgX9cPZFh3f4ffWwghRMckQUxHYyhTa7qc2qQGLuf3qv2HqosYDhP/Cj2m2LQtOr/EwOPfHmTP2Ry6eLgQ6OVKgFflZ08XAixfuxDgqR57uTpZdhYdPp/Pw1/u50RmEQA3jYjkiZl98HSVv35CCCGaTn6L2EPWSTU51rcr9LtWzSlpqa3BxgpI/QNOVwYtKTuhosz6nC7dIXoCRI9XP7xsb5yYklPCHct2kXShGICsonJLMFIfVyctgV6u+Hu6cDStgAqTQqCXKy9d25/JvUMa8x0KIYQQtZIgpjkURc0t+fVJqChVH9vyGgTGQf9r1V0+AT3se0+TCTIT1IDl9CY4sxXKC63P8QpVg5WYCdB9HHTp1qRb/ZGcyz0f7yGrqJwwXzdenDMAnVZDVpGe7KJysovVz1lFerKqfV1SbkRfYeJ8Xinn89T3ZUa/UJ67uj/+nlK4TgghhH1oFEVRWnsQjVVQUICvry/5+fn4+Pi00iDS4Id5ak8hUIMFN184sbYqYRYgbJAazPS7BnwjGn8fRYGcU1UzLad/V5stVufmB9HjqmZbAmObPRO05nAaf1mxH32Fib7hPnx4x3BCfGpvFVBTSXlFZZBTTnaRHh93Z4Z16yKF64QQopOz9+9vCWKa4vC3sGohlOWBkxtM/TuMuBe0WijLh2M/qeckbbDOR4kapQY0fa4Cr6C6r59/vjJgqfwoOGf9vLMndBtVGbSMg9ABoLVPZ2dFUfjv76f55+qjKApM7h3Mv28aLPkrQgghmk2CGFoxiCnNhZ8ehcPfqF+HDYJr3oeg2NrPL86ChB/UgObsNqDyrdbo1KWefnPU2iwmI5z5vWq2Jfuk9XV0LhAxomqJKHwIONl/WabCaOLp/x3h0x3JANw2qhtLZvXBSSfbn4UQQjSfBDG0UhCTtB5WzoPCVDUIGf8ojF8EOmfbXp9/Ho58rwY0qfuqHtc6g8lgfa5GC+GDqxJxIy8BF8eW4S/SV/Dg5/vYkHgBjQb+dnk8d4+NliUgIYQQdiNBDC0cxJSXwG9Pwa731K8DesLV70FEMwrDZSfBke/g0Ldw4aj6WHCfyqBlAnQbDe5+zR66rdLzy7hr+W4S0gpwc9by+g2Dmd7PMc0ehRBCdF4SxNCCQcz5vfDdfZB9Qv16xL1q/os9Z0VyToOLZ6O2PdtTQmoBdy3fTXpBGYFeLvz39uEMivRrlbEIIYTo2Oz9+1uyNWtjNMDmV9TeQooRvMNg9tvQc4r97+Ufbf9r2mhjYibzPttHcbmRnsFeLLtjuHSPFkII0W5IEFPThePw/b1qATlQi9fNfAXcu7TuuOzss51nWfLDEYwmhVExAbx7y1B8PWzM7xFCCCHaAAliqtv3Cfz8qFrx1s0PZv1L3UHURiiKwh8pefy4P5U1h9Mp0leopf6rlf9XS/9XtQII8nIlwMsVP3dntFoNJpPCi2uO8Z/NpwCYMySC56/pLw0YhRBCtDsSxFTn7qcGMD0mq8tHPuGtPSIUReFoWiH/O5jK/w6kci631Or5In0FZ7JLGryOVgP+nq64OWst11h4aSwPTu4pO5CEEEK0SxLEVBd/Bdy6EmIm2lTxtsxgJOlCEcczCknKLMbPw5neoT7EhnoR5OXarODgdFYxP+5P5X8HUzlZrVeRh4uOS/uEcOXAcLoHepJTWRU3q6jcqhXAhSI92UV6sovLySsxYFIgq0itJOys0/DStQO4enATKggLIYQQbYQEMTX1mHTRQ0aTwtnsYhLTC0nMKOR4RiGJ6YWcyS7BaKp9c1cXD2fiQr2JC/EmttpnH7e6805S80pZdTCVHw+kcvh8geVxFyctk+KCuHJgVyb3Dsbdpao6b496Cv+aGYwmcovLyarscxQT5ElEF0ngFUII0b61ahDz9ttv8/LLL5Oens7AgQP597//zYgRI1ptPIqikJZfpgYq6YWWoOVkZhH6ClOtr/F1V4OVHkFe5BaXczyjkDPZxeSWGNhxKocdp3Kszg/3dbMENXGh3sQEeXHoXB4/Hkhl95lcy3k6rYaxPQO5YmA4l/UNqTf4aYizTkuwjxvBNvY+EkIIIdqDVgtivvzySxYuXMi7777LyJEjef3115k2bRqJiYkEB7dOzZR3Nibx8i+JtT7n5qwlNqQq+Iit/BzsffGyUZnByMnMIhLTK2dtKmdu0vLLSK382Jh44aJ7aDQwors/VwwMZ0a/UAK8XB3yfQohhBAdQasVuxs5ciTDhw/nrbfeAsBkMhEZGcmDDz7IX//6V6tz9Xo9en1VZ+iCggIiIyPtXuxuzeF05n++j5ggT6uAJS7Um8guHmi1zUuAzS81cKJaUJOYXkjShSK6+rlzxcBwZg4II8zX3U7fjRBCCNG2dIiKveXl5Xh4ePDNN99w1VVXWR6//fbbycvL44cffrA6/+mnn+bvf//7RdexdxBTXrlkJNuNhRBCCPuzdxDTKr+ts7KyMBqNhISEWD0eEhJCenr6RecvXryY/Px8y0dKSopDxuXipJUARgghhGgn2sXuJFdXV1xdJT9ECCGEEFVaZdohMDAQnU5HRkaG1eMZGRmEhkr3ZCGEEEI0rFWCGBcXF4YOHcq6dessj5lMJtatW8eoUaNaY0hCCCGEaGdabTlp4cKF3H777QwbNowRI0bw+uuvU1xczJ133tlaQxJCCCFEO9JqQcwNN9zAhQsXWLJkCenp6QwaNIg1a9ZclOwrhBBCCFGbVqsT0xz23qIlhBBCCMfrEFushRBCCCGaS4IYIYQQQrRLEsQIIYQQol2SIEYIIYQQ7ZIEMUIIIYRolySIEUIIIUS7JEGMEEIIIdqldtEAsiZzaZuCgoJWHokQQgghbGX+vW2vEnXtMogpLCwEIDIyspVHIoQQQojGKiwsxNfXt9nXaZcVe00mE6mpqXh7e6PRaFp7OK2ioKCAyMhIUlJSpGpxNfK+1E3em9rJ+1I3eW9qJ+9L3Rp6bxRFobCwkPDwcLTa5me0tMuZGK1WS0RERGsPo03w8fGRf0S1kPelbvLe1E7el7rJe1M7eV/qVt97Y48ZGDNJ7BVCCCFEuyRBjBBCCCHaJQli2ilXV1eeeuopXF1dW3sobYq8L3WT96Z28r7UTd6b2sn7UreWfm/aZWKvEEIIIYTMxAghhBCiXZIgRgghhBDtkgQxQgghhGiXJIgRQgghRLskQUwr2rx5M1dccQXh4eFoNBpWrlxp9fwdd9yBRqOx+pg+fbrVOTk5OcydOxcfHx/8/Py4++67KSoqsjrn4MGDjBs3Djc3NyIjI3nppZcc/a01iz3el+7du190zgsvvGB1Tnt7X6Dh9wbg6NGjXHnllfj6+uLp6cnw4cNJTk62PF9WVsa8efMICAjAy8uLOXPmkJGRYXWN5ORkZs6ciYeHB8HBwSxatIiKigpHf3tNZo/3ZeLEiRf9nbn//vutrtHe3hdo+L2p+T2bP15++WXLOZ3x54wt70tn/TlTVFTE/PnziYiIwN3dnT59+vDuu+9andNSP2ckiGlFxcXFDBw4kLfffrvOc6ZPn05aWprl44svvrB6fu7cuRw5coS1a9eyatUqNm/ezL333mt5vqCggMsuu4xu3bqxd+9eXn75ZZ5++mnee+89h31fzWWP9wXgmWeesTrnwQcftDzXHt8XaPi9SUpKYuzYsfTu3ZuNGzdy8OBBnnzySdzc3CznPPzww/zvf//j66+/ZtOmTaSmpnLNNddYnjcajcycOZPy8nK2bdvGRx99xPLly1myZInDv7+mssf7AnDPPfdY/Z2p/gunPb4v0PB7U/37TUtL48MPP0Sj0TBnzhzLOZ3x54wt7wt0zp8zCxcuZM2aNXz66accPXqUBQsWMH/+fH788UfLOS32c0YRbQKgfP/991aP3X777crs2bPrfE1CQoICKLt377Y8tnr1akWj0Sjnz59XFEVR3nnnHaVLly6KXq+3nPP4448rcXFxdh2/ozTlfVEURenWrZvy2muv1fl8e39fFKX29+aGG25Qbrnlljpfk5eXpzg7Oytff/215bGjR48qgLJ9+3ZFURTl559/VrRarZKenm45Z+nSpYqPj4/V+9VWNeV9URRFmTBhgvKXv/ylzufb+/uiKLW/NzXNnj1bmTx5suXrzvpzpqaa74uidN6fM3379lWeeeYZq8eGDBmi/O1vf1MUpWV/zshMTBu3ceNGgoODiYuL44EHHiA7O9vy3Pbt2/Hz82PY/7d39zFV1X8cwN/ycL3gzXiUBxs0QQgC7Ip1d4vQBeNhkxVtVmiSzpxNXSlCG9Vaq01xqP3hirCZq2xj/eHCRiMMLviECDcerS4PgZRTCASDRHm4n98fjrOOkj/46Q868H5tbPD9fs/3nO97ly8fjwfuihVKW3x8PBwcHFBVVaWMiY2NhU6nU8YkJibCZrOhr69v+hZyn90tl3E5OTnw9PSE0WhEbm6u6jblbMzFbrejqKgIISEhSExMxKJFi2AymVS3gq1WK0ZGRhAfH6+0PfLIIwgICEBlZSWAW9lERkbCx8dHGZOYmIg///wTFy5cmLb13C+TyWXcV199BS8vL0RERCA7OxvXr19X+mZbLhPp6upCUVERNm3apLTN5X1m3ES5jJtr+wwAPPnkkzh+/DguXboEEYHFYkFzczMSEhIATO8+wyLmXywpKQlffPEFSktLsXfvXlRUVCA5ORljY2MAgCtXrmDRokWqY5ycnODh4YErV64oY/7+IgGgfD0+Rmv+Wy4A8Prrr6OgoAAWiwVbtmzB7t278eabbyr9szGX7u5uDA4OIicnB0lJSSgpKUFqaiqef/55VFRUALi1Np1OBzc3N9WxPj4+s/Y1M5lcAGDt2rU4evQoLBYLsrOz8eWXX+Lll19W+mdbLhP5/PPP8cADD6hu+8/VfebvJsoFmJv7DAAcPHgQ4eHheOihh6DT6ZCUlISPPvoIsbGxAKZ3n9Hku1jPFS+99JLyeWRkJKKiohAUFITy8nLExcXN4JXNrMnkkpGRoYyJioqCTqfDli1bsGfPnln7p8LtdjsA4Nlnn8XOnTsBAI899hjOnj2LTz75BCtXrpzJy5sxk83l7894REZGws/PD3FxcWhra0NQUND0X/gM+Oyzz7Bu3bo7nhWa6/4pl7m4zwC3iphz587h+PHjCAwMxMmTJ7Ft2zb4+/ur7r5MB96J0ZAlS5bAy8sLra2tAABfX190d3erxoyOjuLq1avw9fVVxtz+RPj41+NjtO72XCZiMpkwOjqKjo4OALMzFy8vLzg5OSE8PFzVHhYWpvwWjq+vL4aHh9Hf368a09XVNWtfM5PJZSImkwkAVN9vsymX2506dQo2mw2vvvqqqn2u7zP/lMtE5sI+MzQ0hLfeegsHDhxASkoKoqKisH37drz44ovYt28fgOndZ1jEaMjvv/+O3t5e+Pn5AQDMZjP6+/thtVqVMWVlZbDb7coGbDabcfLkSYyMjChjTpw4gdDQULi7u0/vAv5Pbs9lInV1dXBwcFBui8/GXHQ6HR5//HHYbDZVe3NzMwIDAwEA0dHRcHZ2RmlpqdJvs9nQ2dkJs9kM4FY2jY2Nqh9cJ06cwMKFC+8oBLRgMrlMpK6uDgBU32+zKZfbHT58GNHR0Vi2bJmqfa7vM/+Uy0Tmwj4zMjKCkZERODioywdHR0flrue07jNTfFCZ7qOBgQGpra2V2tpaASAHDhyQ2tpauXjxogwMDEhmZqZUVlZKe3u7/PDDD7J8+XJZunSp3LhxQ5kjKSlJjEajVFVVyenTp2Xp0qWSlpam9Pf394uPj4+sX79empqapKCgQFxdXSU/P38mljwp95rL2bNn5cMPP5S6ujppa2uTo0ePire3t6Snpyvn0GIuInfPRkTk2LFj4uzsLIcOHZKWlhY5ePCgODo6yqlTp5Q5XnvtNQkICJCysjKpqakRs9ksZrNZ6R8dHZWIiAhJSEiQuro6KS4uFm9vb8nOzp729U7WvebS2toq77//vtTU1Eh7e7sUFhbKkiVLJDY2VjmHFnMR+e/ZiIhcu3ZNXF1dJS8vb8I55to+M+5uuczlfWblypXy6KOPisVikV9//VWOHDkier1ePv74Y2WO6dpnWMTMIIvFIgDu+HjllVfk+vXrkpCQIN7e3uLs7CyBgYGyefNm1a+jiYj09vZKWlqaGAwGWbhwoWzcuFEGBgZUY+rr6yUmJkbmz58vixcvlpycnOlc5pTday5Wq1VMJpM8+OCDotfrJSwsTHbv3q0q/kS0l4vI3bMZd/jwYQkODha9Xi/Lli2Tb775RjXH0NCQbN26Vdzd3cXV1VVSU1Pl8uXLqjEdHR2SnJwsLi4u4uXlJbt27ZKRkZHpWOL/5F5z6ezslNjYWPHw8JD58+dLcHCwZGVlybVr11Tn0VouIpPLJj8/X1xcXKS/v3/COebaPjPubrnM5X3m8uXLsmHDBvH39xe9Xi+hoaGyf/9+sdvtyhzTtc/MExGZ/H0bIiIion8HPhNDREREmsQihoiIiDSJRQwRERFpEosYIiIi0iQWMURERKRJLGKIiIhIk1jEEBERkSaxiCEiIiJNYhFDRPfFqlWrsGPHjhk7f0dHB+bNm6e85xERzX4sYoiIiEiTWMQQERGRJrGIIaIp++uvv5Ceng6DwQA/Pz/s379f1X/z5k1kZmZi8eLFWLBgAUwmE8rLy1Vjzpw5g1WrVsHV1RXu7u5ITExEX18fAKC4uBgxMTFwc3ODp6cnVq9ejba2NtXx58+fh9FohF6vx4oVK1BbW3vHdTY1NSE5ORkGgwE+Pj5Yv349enp67m8YRDRjWMQQ0ZRlZWWhoqIChYWFKCkpQXl5OX788Uelf/v27aisrERBQQEaGhqwZs0aJCUloaWlBQBQV1eHuLg4hIeHo7KyEqdPn0ZKSgrGxsYA3CqSMjIyUFNTg9LSUjg4OCA1NRV2ux0AMDg4iNWrVyM8PBxWqxXvvfceMjMzVdfY39+PZ555BkajETU1NSguLkZXVxdeeOGFaUqJiP7v7vEdu4lojhkYGBCdTidff/210tbb2ysuLi7yxhtvyMWLF8XR0VEuXbqkOi4uLk6ys7NFRCQtLU2eeuqpSZ/zjz/+EADS2NgoIiL5+fni6ekpQ0NDypi8vDwBILW1tSIi8sEHH0hCQoJqnt9++00AiM1mm9KaiejfyWmGaygi0pi2tjYMDw/DZDIpbR4eHggNDQUANDY2YmxsDCEhIarjbt68CU9PTwC37sSsWbPmH8/R0tKCd999F1VVVejp6VHuwHR2diIiIgI///wzoqKioNfrlWPMZrNqjvr6elgsFhgMhgnXcPv1EZH2sIghovtqcHAQjo6OsFqtcHR0VPWNFxQuLi53nSMlJQWBgYH49NNP4e/vD7vdjoiICAwPD0/pOlJSUrB37947+vz8/CY9DxH9e/GZGCKakqCgIDg7O6Oqqkpp6+vrQ3NzMwDAaDRibGwM3d3dCA4OVn34+voCAKKiolBaWjrh/L29vbDZbHjnnXcQFxeHsLAw5YHfcWFhYWhoaMCNGzeUtnPnzqnGLF++HBcuXMDDDz98x3UsWLDgvmRBRDOLRQwRTYnBYMCmTZuQlZWFsrIyNDU1YcOGDXBwuLWdhISEYN26dUhPT8exY8fQ3t6O8+fPY8+ePSgqKgIAZGdno7q6Glu3bkVDQwN++eUX5OXloaenB+7u7vD09MShQ4fQ2tqKsrIyZGRkqK5h7dq1mDdvHjZv3oyffvoJ3333Hfbt26cas23bNly9ehVpaWmorq5GW1sbvv/+e2zcuFF5gJiItI1FDBFNWW5uLp5++mmkpKQgPj4eMTExiI6OVvqPHDmC9PR07Nq1C6GhoXjuuedQXV2NgIAAALcKnZKSEtTX1+OJJ56A2WxGYWEhnJyc4ODggIKCAlitVkRERGDnzp3Izc1Vnd9gMODbb79FY2MjjEYj3n777Tv+28jf3x9nzpzB2NgYEhISEBkZiR07dsDNzU0puIhI2+aJiMz0RRARERFNFf85QkRERJrEIoaIiIg0iUUMERERaRKLGCIiItIkFjFERESkSSxiiIiISJNYxBAREZEmsYghIiIiTWIRQ0RERJrEIoaIiIg0iUUMERERadJ/AN0FNBFsZiL2AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = estc2[estc2['origin']=='grc'].plot(x=\"decade\", y='count', label=\"Works of Ancient Greek authors\")\n",
    "estc2[estc2['origin']=='lat'].plot(ax=ax, x=\"decade\", y='count', label=\"Works of Latin authors\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ab4b7e88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "lat    3929\n",
       "grc    3099\n",
       "Name: origin, dtype: int64"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "estc1['origin'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "542920ad",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
